{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T06:48:24Z","timestamp":1778395704077,"version":"3.51.4"},"reference-count":135,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SASBE"],"published-print":{"date-parts":[[2023,4,10]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The changes brought by Industry 4.0 go beyond transformations in the industrial environment. The increasingly frequent digitization and robotization of activities is not only restricted to the industrial environment, but also to people's daily routine. People spend a large part of their time inside buildings, and maintaining adequate Indoor Environmental Quality (IEQ) is an essential factor for a healthy and productive environment. In this sense, the purpose of this study is to verify how the Internet of Things (IoT) is being used to improve the indoor environment, through sensors that instantly measure the conditions of the environment.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>The aim of this paper is to verify, through a literature review, how IoT is being used for building control (for energy saving purposes) and to monitor IEQ conditions inside buildings, in order to provide a better environment for occupants, in terms of health and comfort. By combining keywords in databases, PRISMA method was used to select the articles for analysis, and 91 articles were analyzed.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The main findings in this research are: (1) the main purpose for applying IoT inside buildings is to reduce energy consumption; (2) there is an interest in developing low-cost sensoring devices with a learning approach; (3) Machine Learning methods are mainly used for energy saving purposes and to learn about occupants' behavior inside buildings, focusing on thermal comfort; (4) sensors in the IoT era are a requirement to help improve people's comfort and well-being.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>Studies directly correlating IoT and IEQ are limited. This paper emphasises the link between them, through the presentation of recent methods to control the built environment.<\/jats:p><\/jats:sec>","DOI":"10.1108\/sasbe-10-2021-0185","type":"journal-article","created":{"date-parts":[[2022,2,25]],"date-time":"2022-02-25T21:56:00Z","timestamp":1645826160000},"page":"584-606","source":"Crossref","is-referenced-by-count":64,"title":["The role of internet of things (IoT) in the assessment and communication of indoor environmental quality (IEQ) in buildings: a review"],"prefix":"10.1108","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6613-7657","authenticated-orcid":false,"given":"Evandro Eduardo","family":"Broday","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0739-9811","authenticated-orcid":false,"given":"Manuel Carlos","family":"Gameiro da Silva","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2022,3,1]]},"reference":[{"key":"key2023040611355815300_ref001","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/j.procs.2014.07.090","article-title":"A cost-effective wireless sensor network system for indoor air quality monitoring applications","volume":"34","year":"2014","journal-title":"Procedia Computer Science"},{"issue":"1","key":"key2023040611355815300_ref002","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1080\/09613218.2020.1808946","article-title":"A human-centred approach to smart housing","volume":"49","year":"2021","journal-title":"Building Research and Information"},{"issue":"2","key":"key2023040611355815300_ref003","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1177\/0143624417752645","article-title":"Optimizing thermal comfort considerations with electrical demand response program implementation","volume":"39","year":"2018","journal-title":"Building Services Engineering Research and Technology"},{"key":"key2023040611355815300_ref004","doi-asserted-by":"publisher","first-page":"100846","DOI":"10.1016\/j.jobe.2019.100846","article-title":"Thermal adaptation in occupant-driven HVAC control","volume":"25","year":"2019","journal-title":"Journal of Building Engineering"},{"key":"key2023040611355815300_ref005","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/j.enbuild.2019.02.007","article-title":"Intelligent adaptive automation: a framework for an activity-driven and user-centered building automation","volume":"188","year":"2019","journal-title":"Energy and Buildings"},{"key":"key2023040611355815300_ref006","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.apenergy.2017.06.079","article-title":"Anti-logic or common sense that can hinder machine's energy performance: energy and comfort control models based on artificial intelligence responding to abnormal indoor environments","volume":"204","year":"2017","journal-title":"Applied Energy"},{"issue":"9","key":"key2023040611355815300_ref007","doi-asserted-by":"publisher","first-page":"2802","DOI":"10.3390\/s18092802","article-title":"IoT operating system based Fuzzy inference system for home energy management system in smart buildings","volume":"18","year":"2018","journal-title":"Sensors"},{"issue":"1","key":"key2023040611355815300_ref008","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ijsbe.2016.03.006","article-title":"Impact of indoor environmental quality on occupant well-being and comfort: a review of the literature","volume":"5","year":"2016","journal-title":"International Journal of Sustainable Built Environment"},{"issue":"18","key":"key2023040611355815300_ref009","doi-asserted-by":"publisher","first-page":"4017","DOI":"10.3390\/s19184017","article-title":"Elemental: an open-source wireless hardware and software platform for building energy and indoor environmental monitoring and control","volume":"19","year":"2019","journal-title":"Sensors"},{"key":"key2023040611355815300_ref010","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.enbuild.2014.06.020","article-title":"Indoor environmental quality of classrooms in Southern European climate","volume":"81","year":"2014","journal-title":"Energy and Buildings"},{"key":"key2023040611355815300_ref011","volume-title":"Thermal Environmental Conditions for Human Occupancy","author":"ASHRAE","year":"2017"},{"issue":"10","key":"key2023040611355815300_ref012","doi-asserted-by":"publisher","first-page":"1647","DOI":"10.3390\/s16101647","article-title":"Device centric throughput and QoS optimization for IoTsin a smart building using CRN-techniques","volume":"16","year":"2016","journal-title":"Sensors"},{"key":"key2023040611355815300_ref013","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1016\/j.rser.2016.10.072","article-title":"Building Automation and Control Systems and performance optimization: a framework for analysis","volume":"75","year":"2017","journal-title":"Renewable and Sustainable Energy Reviews"},{"issue":"2","key":"key2023040611355815300_ref014","doi-asserted-by":"publisher","first-page":"309","DOI":"10.3390\/s19020309","article-title":"Multi-parametric analysis of reliability and energy consumption in IoT: a deep learning approach","volume":"19","year":"2019","journal-title":"Sensors"},{"key":"key2023040611355815300_ref015","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/j.solener.2020.03.10","article-title":"A review on machine learning algorithms to predict daylighting inside buildings","volume":"202","year":"2020","journal-title":"Solar Energy"},{"key":"key2023040611355815300_ref016","doi-asserted-by":"publisher","first-page":"109365","DOI":"10.1016\/j.enbuild.2019.109365","article-title":"Technological innovations to assess and include the human dimension in the building-performance loop: a review","volume":"202","year":"2019","journal-title":"Energy and Buildings"},{"issue":"11","key":"key2023040611355815300_ref017","doi-asserted-by":"publisher","first-page":"2922","DOI":"10.3390\/en13112922","article-title":"Steady-State predictive optimal control of integrated building energy systems using a mixed economic and occupant comfort focused objective function","volume":"13","year":"2020","journal-title":"Energies"},{"issue":"6","key":"key2023040611355815300_ref018","doi-asserted-by":"publisher","first-page":"244","DOI":"10.3390\/buildings11060244","article-title":"Evaluating the connection between thermal comfort and productivity in buildings: a systematic literature review","volume":"11","year":"2021","journal-title":"Buildings"},{"issue":"14","key":"key2023040611355815300_ref019","doi-asserted-by":"publisher","first-page":"4005","DOI":"10.3390\/s20144005","article-title":"Designing a cyber-physical system for ambient assisted living: a use-case analysis for social robot navigation in caregiving centers","volume":"20","year":"2020","journal-title":"Sensors"},{"issue":"3","key":"key2023040611355815300_ref020","doi-asserted-by":"publisher","first-page":"781","DOI":"10.3390\/s20030781","article-title":"IoT based architecture for model predictive control of HVAC systems in smart buildings","volume":"20","year":"2020","journal-title":"Sensors"},{"issue":"12","key":"key2023040611355815300_ref021","doi-asserted-by":"publisher","first-page":"3430","DOI":"10.3390\/en11123430","article-title":"Fault-tolerant temperature control algorithm for IoT networks in smart buildings","volume":"11","year":"2018","journal-title":"Energies"},{"issue":"21","key":"key2023040611355815300_ref022","doi-asserted-by":"publisher","first-page":"4642","DOI":"10.3390\/s19214642","article-title":"Smart buildings IoT networks accuracy evolution prediction to improve their reliability using a lotka-volterra ecosystem model","volume":"19","year":"2019","journal-title":"Sensors"},{"key":"key2023040611355815300_ref023","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.enbuild.2018.01.044","article-title":"Rapid deployment modular building solutions and climatic adaptability: case based study of a novel approach to \u201cthermal capacity on demand\u201d","volume":"167","year":"2018","journal-title":"Energy and Buildings"},{"issue":"19","key":"key2023040611355815300_ref024","doi-asserted-by":"publisher","first-page":"5507","DOI":"10.3390\/s20195507","article-title":"A network sensor fusion approach for a behaviour-based smart energy environment for Co-making spaces","volume":"20","year":"2020","journal-title":"Sensors"},{"key":"key2023040611355815300_ref025","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1007\/s12273-015-0211-1","article-title":"EnergyPlus and CHAMPS-Multizone co-simulation for energy and indoor air quality analysis","volume":"8","year":"2015","journal-title":"Building Simulation"},{"key":"key2023040611355815300_ref026","doi-asserted-by":"publisher","first-page":"119866","DOI":"10.1016\/j.jclepro.2019.119866","article-title":"Transfer learning with deep neural networks for model predictive control of HVAC and natural ventilation in smart buildings","volume":"254","year":"2020","journal-title":"Journal of Cleaner Production"},{"issue":"3","key":"key2023040611355815300_ref027","doi-asserted-by":"publisher","first-page":"62","DOI":"10.3390\/buildings9030062","article-title":"The spatial and temporal variability of the indoor environmental quality during three simulated office studies at a living lab","volume":"9","year":"2019","journal-title":"Buildings"},{"issue":"11","key":"key2023040611355815300_ref028","doi-asserted-by":"publisher","first-page":"3995","DOI":"10.3390\/ijerph17113995","article-title":"A scoping review of technological approaches to environmental monitoring","volume":"17","year":"2020","journal-title":"International Journal of Environmental Research and Public Health"},{"key":"key2023040611355815300_ref029","doi-asserted-by":"publisher","first-page":"110159","DOI":"10.1016\/j.enbuild.2020.110159","article-title":"A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings","volume":"223","year":"2020","journal-title":"Energy and Buildings"},{"key":"key2023040611355815300_ref030","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/j.buildenv.2012.03.024","article-title":"Indoor environmental quality and pupil perception in Italian primary schools","volume":"56","year":"2012","journal-title":"Building and Environment"},{"key":"key2023040611355815300_ref031","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1016\/j.enbuild.2018.06.060","article-title":"Artificial neural network models using thermal sensations and occupants' behavior for predicting thermal comfort","volume":"174","year":"2018","journal-title":"Energy and Buildings"},{"key":"key2023040611355815300_ref032","volume-title":"Of the European Parliament and of the Council of 19 May 2010 on the Energy Performance of Buildings (Recast)","author":"Directive 2010\/31\/EU","year":"2010"},{"key":"key2023040611355815300_ref033","volume-title":"Of the European Parliament and of the Council of 30 May 2018 Amending Directive 2010\/31\/EU on the Energy Performance of Buildings Directive 2012\/27\/EU on Energy Efficiency; L156\/75","author":"Directive 2018\/844\/EU","year":"2018"},{"key":"key2023040611355815300_ref034","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.enbuild.2019.06.025","article-title":"A review of smart building sensing system for better indoor environment control","volume":"199","year":"2019","journal-title":"Energy and Buildings"},{"key":"key2023040611355815300_ref035","doi-asserted-by":"publisher","first-page":"111711","DOI":"10.1016\/j.enbuild.2021.111771","article-title":"Application of machine learning in thermal comfort studies: a review of methods, performance and challenges","volume":"256","year":"2022","journal-title":"Energy and Buildings"},{"key":"key2023040611355815300_ref036","doi-asserted-by":"publisher","first-page":"105748","DOI":"10.1016\/j.envint.2020.105748","article-title":"Exposure to indoor air pollution across socio-economic groups in high-income countries: a scoping review of the literature and a modelling methodology","volume":"143","year":"2020","journal-title":"Environment International"},{"key":"key2023040611355815300_ref037","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1016\/j.enbuild.2012.08.002","article-title":"Neural networks based predictive control for thermal comfort and energy savings in public buildings","volume":"55","year":"2012","journal-title":"Energy and Buildings"},{"issue":"5","key":"key2023040611355815300_ref038","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1111\/j.1600-0668.2011.00719.x","article-title":"Benefits and costs of improved IEQ in U.S. offices","volume":"21","year":"2011","journal-title":"Indoor Air"},{"issue":"22","key":"key2023040611355815300_ref039","doi-asserted-by":"publisher","first-page":"9496","DOI":"10.3390\/su12229496","article-title":"How are the smart readiness indicators expected to affect the energy performance of buildings: first evidence and perspectives","volume":"12","year":"2020","journal-title":"Sustainability"},{"key":"key2023040611355815300_ref040","doi-asserted-by":"publisher","DOI":"10.1016\/j.envres.2020.110477","article-title":"Indoor environmental quality in households of families with infant twins under 1 year of age living in Porto","volume":"198","year":"2020","journal-title":"Environmental Research"},{"issue":"2","key":"key2023040611355815300_ref041","first-page":"14","article-title":"Assessing and communicating indoor environmental quality","volume":"56","year":"2019","journal-title":"Rehva Journal"},{"key":"key2023040611355815300_ref042","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1016\/j.ifacol.2018.07.177","article-title":"Human influence on the microclimate of buildings","volume":"51","year":"2018","journal-title":"IFAC-PapersOnLine"},{"key":"key2023040611355815300_ref043","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.buildenv.2017.05.022","article-title":"The impact of thermal environment on occupant IEQ perception and productivity","volume":"121","year":"2017","journal-title":"Building and Environment"},{"key":"key2023040611355815300_ref044","doi-asserted-by":"publisher","first-page":"101741","DOI":"10.1016\/j.scs.2019.101741","article-title":"HVAC load synchronization in smart building communities","volume":"51","year":"2019","journal-title":"Sustainable Cities and Society"},{"key":"key2023040611355815300_ref045","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.enbuild.2017.02.020","article-title":"Coupling building energy simulation software with microclimatic simulation for the evaluation of the impact of urban outdoor conditions on the energy consumption and indoor environmental quality","volume":"157","year":"2017","journal-title":"Energy and Buildings"},{"key":"key2023040611355815300_ref046","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.enbuild.2019.05.021","article-title":"A methodology for energy multivariate time series forecasting in smart buildings based on feature selection","volume":"196","year":"2019","journal-title":"Energy and Buildings"},{"issue":"17","key":"key2023040611355815300_ref047","doi-asserted-by":"publisher","first-page":"4914","DOI":"10.3390\/s20174914","article-title":"Knowledge discovery using topological analysis for building sensor data dagger","volume":"20","year":"2020","journal-title":"Sensors"},{"key":"key2023040611355815300_ref048","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jobe.2016.08.006","article-title":"Smart innovation systems for indoor environmental quality (IEQ)","volume":"8","year":"2016","journal-title":"Journal of Building Engineering"},{"key":"key2023040611355815300_ref049","doi-asserted-by":"publisher","first-page":"102247","DOI":"10.1016\/j.scs.2020.102247","article-title":"A novel reinforcement learning method for improving occupant comfort via window opening and closing","volume":"61","year":"2020","journal-title":"Sustainable Cities and Society"},{"key":"key2023040611355815300_ref050","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.renene.2018.03.022","article-title":"Analysis and optimization of HVAC control systems based on energy and performance considerations for smart buildings","volume":"126","year":"2018","journal-title":"Renewable Energy"},{"key":"key2023040611355815300_ref051","article-title":"Buildings A source of enormous untapped efficiency potential","author":"International Energy Agency","year":"2021"},{"issue":"5","key":"key2023040611355815300_ref052","doi-asserted-by":"publisher","first-page":"1099","DOI":"10.1016\/j.jaci.2013.07.028","article-title":"Association of indoor dampness and molds with rhinitis risk: a systematic review and meta-analysis","volume":"132","year":"2013","journal-title":"Journal of Allergy and Clinical Immunology"},{"key":"key2023040611355815300_ref053","doi-asserted-by":"publisher","first-page":"1415","DOI":"10.1177\/1420326X17728097","article-title":"Fuzzy inference system for the assessment of indoor environmental quality in a room","volume":"27","year":"2018","journal-title":"Indoor and Built Environment"},{"issue":"4","key":"key2023040611355815300_ref054","doi-asserted-by":"publisher","first-page":"102","DOI":"10.3390\/buildings9040102","article-title":"Applicability of the smart readiness indicator for cold climate countries","volume":"9","year":"2019","journal-title":"Buildings"},{"issue":"12","key":"key2023040611355815300_ref055","doi-asserted-by":"publisher","first-page":"4276","DOI":"10.3390\/s18124276","article-title":"A self-powered, threshold-based wireless sensor for the detection of floor vibrations","volume":"18","year":"2018","journal-title":"Sensors"},{"issue":"9","key":"key2023040611355815300_ref056","doi-asserted-by":"publisher","first-page":"881","DOI":"10.3390\/su8090881","article-title":"A comprehensive real-time indoor air-quality level indicator","volume":"8","year":"2016","journal-title":"Sustainability"},{"key":"key2023040611355815300_ref057","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1016\/j.jobe.2018.05.014","article-title":"Continuous monitoring of indoor environmental quality using an Arduino-based data acquisition system","volume":"19","year":"2018","journal-title":"Journal of Building Engineering"},{"key":"key2023040611355815300_ref058","doi-asserted-by":"publisher","first-page":"103078","DOI":"10.1016\/j.apergo.2020.103078","article-title":"Machine learning algorithms applied to a prediction of personal overall thermal comfort using skin temperatures and occupants' heating behavior","volume":"85","year":"2020","journal-title":"Applied Ergonomics"},{"issue":"12","key":"key2023040611355815300_ref059","doi-asserted-by":"publisher","first-page":"4230","DOI":"10.1109\/jsen.2014.2359832","article-title":"ISSAQ: an integrated sensing systems for real-time indoor air quality monitoring","volume":"14","year":"2014","journal-title":"IEEE Sensors Journal"},{"key":"key2023040611355815300_ref060","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.buildenv.2017.12.011","article-title":"Personal comfort models: predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning","volume":"129","year":"2018","journal-title":"Building and Environment"},{"issue":"3","key":"key2023040611355815300_ref061","doi-asserted-by":"publisher","first-page":"433","DOI":"10.3390\/en12030433","article-title":"Development of a consecutive occupancy estimation framework for improving the energy demand prediction performance of building energy modeling tools","volume":"12","year":"2019","journal-title":"Energies"},{"key":"key2023040611355815300_ref062","doi-asserted-by":"publisher","first-page":"121489","DOI":"10.1016\/j.jclepro.2020.121489","article-title":"Using Artificial Intelligence on environmental data from Internet of Things for estimating solar radiation: comprehensive analysis","volume":"266","year":"2020","journal-title":"Journal of Cleaner Production"},{"key":"key2023040611355815300_ref063","first-page":"6","article-title":"Smart Readiness Indicator (SRI) for buildings not so smart as expected","volume":"55","year":"2018","journal-title":"REHVA Journal"},{"issue":"2\/3","key":"key2023040611355815300_ref064","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1504\/ijtpm.2012.046927","article-title":"Renewable energy and smart grid principles integration into campus-wide energy strategy at the University of New Mexico","volume":"12","year":"2012","journal-title":"International Journal of Technology, Policy and Management"},{"key":"key2023040611355815300_ref065","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/j.buildenv.2016.08.022","article-title":"Ten questions concerning integrating smart buildings into the smart grid","volume":"108","year":"2016","journal-title":"Building and Environment"},{"key":"key2023040611355815300_ref066","doi-asserted-by":"publisher","first-page":"110172","DOI":"10.1016\/j.enbuild.2020.110172","article-title":"Towards smart buildings with self-tuned indoor thermal environments - a\u00a0critical review","volume":"224","year":"2020","journal-title":"Energy and Buildings"},{"issue":"7","key":"key2023040611355815300_ref067","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1016\/j.buildenv.2004.08.026","article-title":"Adaptive occupancy-based lighting control via grey prediction","volume":"40","year":"2005","journal-title":"Building and Environment"},{"issue":"14","key":"key2023040611355815300_ref068","doi-asserted-by":"publisher","first-page":"3828","DOI":"10.3390\/s20143828","article-title":"Performance evaluations of LoRa wireless communication in building environments","volume":"20","year":"2020","journal-title":"Sensors"},{"key":"key2023040611355815300_ref069","doi-asserted-by":"publisher","first-page":"106880","DOI":"10.1016\/j.buildenv.2020.106880","article-title":"Occupant-Facade interaction: a review and classification scheme","volume":"177","year":"2020","journal-title":"Building and Environment"},{"key":"key2023040611355815300_ref070","doi-asserted-by":"publisher","first-page":"109825","DOI":"10.1016\/j.enbuild.2020.109825","article-title":"Building temperature regulation in a multi-zone HVAC system using distributed adaptive control","volume":"215","year":"2020","journal-title":"Energy and Buildings"},{"key":"key2023040611355815300_ref071","doi-asserted-by":"publisher","first-page":"1955","DOI":"10.3390\/en12101955","article-title":"Supporting the Smart Readiness Indicator \u2013 a methodology to integrate a quantitative assessment of the load shifting potential of smart buildings","volume":"12","year":"2019","journal-title":"Energies"},{"issue":"2","key":"key2023040611355815300_ref072","doi-asserted-by":"publisher","first-page":"1942","DOI":"10.3390\/s130201942","article-title":"A routing protocol based on energy and link quality for internet of things applications","volume":"13","year":"2013","journal-title":"Sensors"},{"issue":"2","key":"key2023040611355815300_ref073","doi-asserted-by":"publisher","first-page":"610","DOI":"10.3390\/s18020610","article-title":"An advanced IoT-based system for intelligent energy management in buildings","volume":"18","year":"2018","journal-title":"Sensors"},{"issue":"11","key":"key2023040611355815300_ref074","doi-asserted-by":"publisher","first-page":"1152","DOI":"10.3390\/ijerph13111152","article-title":"An indoor monitoring system for ambient assisted living based on internet of things architecture","volume":"13","year":"2016","journal-title":"International Journal of Environmental Research and Public Health"},{"issue":"3","key":"key2023040611355815300_ref075","doi-asserted-by":"publisher","first-page":"43","DOI":"10.3390\/jsan8030043","article-title":"mHealth: indoor environmental quality measuring system for enhanced health and well-being based on internet of things","volume":"8","year":"2019","journal-title":"Journal of Sensor and Actuator Networks"},{"issue":"8","key":"key2023040611355815300_ref076","doi-asserted-by":"publisher","first-page":"2097","DOI":"10.3390\/en13082097","article-title":"An online grey-box model based on unscented Kalman filter to predict temperature profiles in smart buildings","volume":"13","year":"2020","journal-title":"Energies"},{"issue":"4","key":"key2023040611355815300_ref077","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1080\/09613218.2018.1434366","article-title":"A window of one's own: a public office post-occupancy evaluation","volume":"47","year":"2019","journal-title":"Building Research and Information"},{"key":"key2023040611355815300_ref078","doi-asserted-by":"publisher","first-page":"110192","DOI":"10.1016\/j.enbuild.2020.110192","article-title":"Intelligent buildings: an overview","volume":"223","year":"2020","journal-title":"Energy and Buildings"},{"issue":"7","key":"key2023040611355815300_ref079","doi-asserted-by":"publisher","first-page":"e1000097","DOI":"10.1371\/journal.pmed.1000097","article-title":"Preferred reporting Items for systematic reviews and meta-analyses: the PRISMA statement","volume":"6","year":"2009","journal-title":"PLoS Medicine"},{"issue":"6","key":"key2023040611355815300_ref080","doi-asserted-by":"publisher","first-page":"9582","DOI":"10.3390\/s140609582","article-title":"How can we tackle energy efficiency in IoT based smart buildings?","volume":"14","year":"2014","journal-title":"Sensors"},{"issue":"5","key":"key2023040611355815300_ref081","doi-asserted-by":"publisher","first-page":"1749","DOI":"10.1007\/s00500-015-1679-4","article-title":"Big data: the key to energy efficiency in smart buildings","volume":"20","year":"2016","journal-title":"Soft Computing"},{"key":"key2023040611355815300_ref082","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.enbuild.2017.05.017","article-title":"On-site monitoring and subjective comfort assessment of a sun shadings and electric lighting controller based on novel High Dynamic Range vision sensors","volume":"149","year":"2017","journal-title":"Energy and Buildings"},{"key":"key2023040611355815300_ref083","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1016\/j.buildenv.2019.03.012","article-title":"Capabilities and limitations of wireless CO2, temperature and relative humidity sensors","volume":"154","year":"2019","journal-title":"Building and Environment"},{"key":"key2023040611355815300_ref084","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.enbuild.2015.02.053","article-title":"Occupant centered lighting control for comfort and energy efficient building operation","volume":"94","year":"2015","journal-title":"Energy and Buildings"},{"key":"key2023040611355815300_ref085","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1016\/j.enbuild.2016.05.075","article-title":"Occupant centered lighting control: a user study on balancing comfort, acceptance, and energy consumption","volume":"126","year":"2016","journal-title":"Energy and Buildings"},{"issue":"1","key":"key2023040611355815300_ref086","doi-asserted-by":"publisher","first-page":"18","DOI":"10.12720\/ijoee.1.1.18-22","article-title":"A study on daylight integration with thermal comfort for energy conservation in a general office","volume":"1","year":"2013","journal-title":"International Journal of Electrical Energy"},{"key":"key2023040611355815300_ref087","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jii.2017.04.002","article-title":"Effect of energy management circuitry on optimum energy harvesting source configuration for small form-factor autonomous sensing applications","volume":"11","year":"2018","journal-title":"Journal of Industrial Information Integration"},{"issue":"1","key":"key2023040611355815300_ref088","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1016\/j.enbuild.2018.10.004","article-title":"Early predicting cooling loads for energy-efficient design in office buildings by machine learning","volume":"182","year":"2018","journal-title":"Energy and Buildings"},{"key":"key2023040611355815300_ref089","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.enbuild.2011.09.022","article-title":"Use of model predictive control and weather forecasts for energy efficient building climate control","volume":"45","year":"2012","journal-title":"Energy and Buildings"},{"key":"key2023040611355815300_ref090","doi-asserted-by":"publisher","first-page":"121766","DOI":"10.1016\/j.jclepro.2020.121766","article-title":"Building information modelling applications in smart buildings: from design to commissioning and beyond a critical review","volume":"265","year":"2020","journal-title":"Journal of Cleaner Production"},{"key":"key2023040611355815300_ref091","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.enbuild.2018.08.039","article-title":"Propagating sensor uncertainty to better infer office occupancy in smart building control","volume":"179","year":"2018","journal-title":"Energy and Buildings"},{"issue":"5","key":"key2023040611355815300_ref092","doi-asserted-by":"publisher","first-page":"1006","DOI":"10.3390\/s19051006","article-title":"Distributed fusion of sensor data in a constrained wireless network","volume":"19","year":"2019","journal-title":"Sensors"},{"key":"key2023040611355815300_ref093","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2018\/1757409","article-title":"IoT-based smart building environment service for occupant\u2019s thermal comfort","volume":"2018","year":"2018","journal-title":"Journal of Sensors"},{"key":"key2023040611355815300_ref094","doi-asserted-by":"publisher","first-page":"106351","DOI":"10.1016\/j.buildenv.2019.106351","article-title":"A critical review of field implementations of occupant-centric building controls","volume":"165","year":"2019","journal-title":"Building and Environment"},{"key":"key2023040611355815300_ref095","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.buildenv.2018.12.010","article-title":"Continuous IEQ monitoring system: context and development","volume":"149","year":"2019","journal-title":"Building and Environment"},{"key":"key2023040611355815300_ref096","doi-asserted-by":"publisher","first-page":"1343","DOI":"10.1016\/j.apenergy.2017.12.002","article-title":"Using machine learning techniques for occupancy-prediction-based cooling control in office buildings","volume":"211","year":"2018","journal-title":"Applied Energy"},{"issue":"24","key":"key2023040611355815300_ref097","doi-asserted-by":"publisher","first-page":"4745","DOI":"10.3390\/en12244745","article-title":"A review of the recent developments in integrating machine learning models with sensor devices in the smart buildings sector with a view to attaining enhanced sensing, energy efficiency, and optimal building management","volume":"12","year":"2019","journal-title":"Energies"},{"key":"key2023040611355815300_ref098","doi-asserted-by":"publisher","first-page":"100864","DOI":"10.1016\/j.jobe.2019.100864","article-title":"Extracting occupants' energy-use patterns from Wi-Fi networks in office buildings","volume":"26","year":"2019","journal-title":"Journal of Building Engineering"},{"key":"key2023040611355815300_ref099","doi-asserted-by":"publisher","first-page":"100948","DOI":"10.1016\/j.jobe.2019.100948","article-title":"Towards utilizing internet of things (IoT) devices for understanding individual occupants' energy usage of personal and shared appliances in office buildings","volume":"27","year":"2020","journal-title":"Journal of Building Engineering"},{"key":"key2023040611355815300_ref100","doi-asserted-by":"publisher","first-page":"111173","DOI":"10.1016\/j.enbuild.2021.111173","article-title":"Application of smart readiness indicator for Mediterranean buildings in retrofitting actions","volume":"249","year":"2021","journal-title":"Energy and Buildings"},{"key":"key2023040611355815300_ref101","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.rser.2018.03.089","article-title":"Future effectual role of energy delivery: a comprehensive review of Internet of Things and smart grid","volume":"91","year":"2018","journal-title":"Renewable and Sustainable Energy Reviews"},{"issue":"4","key":"key2023040611355815300_ref102","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1108\/jfm-03-2019-0008","article-title":"Predictive analytics in facilities management","volume":"17","year":"2019","journal-title":"Journal of Facilities Management"},{"key":"key2023040611355815300_ref134","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.enbuild.2016.03.043","article-title":"The IMBPC HVAC system: a complete MBPC solution for existing HVAC systems","volume-title":"Energy and Buildings","year":"2016"},{"issue":"6","key":"key2023040611355815300_ref103","first-page":"2052","article-title":"Smart building system using IoT","volume":"7","year":"2019","journal-title":"International Journal of Recent Technology and Engineering"},{"issue":"6","key":"key2023040611355815300_ref104","doi-asserted-by":"publisher","first-page":"13012","DOI":"10.3390\/s150613012","article-title":"Design and development of nEMoS, an all-in-one, low-cost, web-connected and 3D-printed device for environmental analysis","volume":"15","year":"2015","journal-title":"Sensors"},{"issue":"5","key":"key2023040611355815300_ref105","doi-asserted-by":"publisher","first-page":"1021","DOI":"10.3390\/s17051021","article-title":"Design and development of a nearable wireless system to control indoor air quality and indoor lighting quality","volume":"17","year":"2017","journal-title":"Sensors"},{"issue":"4","key":"key2023040611355815300_ref106","doi-asserted-by":"publisher","first-page":"828","DOI":"10.3390\/s17040828","article-title":"A low-cost environmental monitoring system: how to prevent systematic errors in the design phase through the combined use of additive manufacturing and thermographic techniques","volume":"17","year":"2017","journal-title":"Sensors"},{"key":"key2023040611355815300_ref107","doi-asserted-by":"publisher","first-page":"742","DOI":"10.1016\/j.rser.2018.04.013","article-title":"Smart buildings as Cyber-Physical Systems: data-driven predictive control strategies for energy efficiency","volume":"90","year":"2018","journal-title":"Renewable and Sustainable Energy Reviews"},{"key":"key2023040611355815300_ref108","doi-asserted-by":"publisher","first-page":"106804","DOI":"10.1016\/j.buildenv.2020.1068","article-title":"Review of multi-domain approaches to indoor environmental perception and behaviour","volume":"176","year":"2020","journal-title":"Building and Environment"},{"issue":"1","key":"key2023040611355815300_ref109","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1111\/j.1600-0668.2005.00394.x","article-title":"Ventilation and performance in office work","volume":"16","year":"2006","journal-title":"Indoor Air"},{"issue":"3","key":"key2023040611355815300_ref110","doi-asserted-by":"publisher","first-page":"108","DOI":"10.3390\/info10030108","article-title":"A review on energy consumption optimization techniques in IoT based smart building environments","volume":"10","year":"2019","journal-title":"Information"},{"issue":"1","key":"key2023040611355815300_ref111","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/s11277-018-5831-1","article-title":"Low-cost low power smart helmet for real-time remote underground mine environment monitoring","volume":"102","year":"2018","journal-title":"Wireless Personal Communications"},{"key":"key2023040611355815300_ref112","doi-asserted-by":"publisher","first-page":"546","DOI":"10.1016\/j.buildenv.2018.12.040","article-title":"Learning desk fan usage preferences for personalised thermal comfort in shared offices using tree-based methods","volume":"149","year":"2019","journal-title":"Building and Environment"},{"issue":"3","key":"key2023040611355815300_ref113","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/IJITN.2020070101","article-title":"Developing smart buildings using Blockchain, internet of things, and building information modeling","volume":"12","year":"2020","journal-title":"International Journal of Interdisciplinary Telecommunications and Networking"},{"key":"key2023040611355815300_ref114","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1007\/s00779-017-1103-4","article-title":"Accurately forecasting temperatures in smart buildings using fewer sensors","volume":"23","year":"2019","journal-title":"Personal and Ubiquitous Computing"},{"key":"key2023040611355815300_ref115","doi-asserted-by":"publisher","first-page":"1004","DOI":"10.4028\/www.scientific.net\/amm.241-244.1004","article-title":"Smart building control based on wireless sensor-actuator networks","year":"2011","journal-title":"Applied Mechanics and Materials"},{"key":"key2023040611355815300_ref116","doi-asserted-by":"publisher","first-page":"110386","DOI":"10.1016\/j.enbuild.2020.110386","article-title":"A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions","volume":"226","year":"2020","journal-title":"Energy and Buildings"},{"issue":"11","key":"key2023040611355815300_ref117","doi-asserted-by":"publisher","first-page":"27543","DOI":"10.3390\/s151127543","article-title":"Smart building: decision making architecture for thermal energy management","volume":"15","year":"2015","journal-title":"Sensors"},{"key":"key2023040611355815300_ref118","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.buildenv.2019.03.038","article-title":"Energy optimization associated with thermal comfort and indoor air control via a deep reinforcement learning algorithm","volume":"155","year":"2019","journal-title":"Building and Environment"},{"issue":"2","key":"key2023040611355815300_ref119","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1007\/s11192-009-0146-3","article-title":"Software survey: VOSviewer, a computer program for bibliometric mapping","volume":"84","year":"2010","journal-title":"Scientometrics"},{"key":"key2023040611355815300_ref120","doi-asserted-by":"publisher","volume-title":"Support for Setting up a Smart Readiness Indicator for Buildings and Related Impact Assessment","year":"2018","DOI":"10.2833\/600706"},{"issue":"11","key":"key2023040611355815300_ref121","doi-asserted-by":"publisher","first-page":"2796","DOI":"10.3390\/en13112796","article-title":"Analysis of the building smart readiness indicator calculation: a comparative case-study with two panels of experts","volume":"13","year":"2020","journal-title":"Energies"},{"issue":"3","key":"key2023040611355815300_ref122","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1002\/smi.1134","article-title":"The effects of the physical environment on job performance: towards a theoretical model of workspace stress","volume":"23","year":"2007","journal-title":"Stress and Health"},{"issue":"9","key":"key2023040611355815300_ref123","doi-asserted-by":"publisher","first-page":"2385","DOI":"10.3390\/en11092385","article-title":"Solving multi-objective Fuzzy optimization in wireless smart sensor networks under uncertainty using a hybrid of IFR and SSO algorithm","volume":"11","year":"2018","journal-title":"Energies"},{"key":"key2023040611355815300_ref124","doi-asserted-by":"publisher","first-page":"110929","DOI":"10.1016\/j.rser.2021.110929","article-title":"Practical issues in implementing machine-learning models for building energy efficiency: moving beyond obstacles","volume":"143","year":"2021","journal-title":"Renewable and Sustainable Energy Reviews"},{"key":"key2023040611355815300_ref125","doi-asserted-by":"publisher","first-page":"110392","DOI":"10.1016\/j.enbuild.2020.110392","article-title":"Review on occupant-centric thermal comfort sensing, predicting, and controlling","volume":"226","year":"2020","journal-title":"Energy and Buildings"},{"issue":"8","key":"key2023040611355815300_ref126","doi-asserted-by":"publisher","first-page":"2941","DOI":"10.1080\/00207543.2018.1444806","article-title":"Industry 4.0: state of the art and future trends","volume":"56","year":"2018","journal-title":"International Journal of Production Research"},{"key":"key2023040611355815300_ref127","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1007\/s11633-018-1131-1","article-title":"A practical approach to representation of real-time building control applications in simulation","volume":"17","year":"2020","journal-title":"International Journal of Automation and Computing"},{"issue":"1","key":"key2023040611355815300_ref128","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.scs.2011.09.001","article-title":"Multi-objective optimization for decision-making of energy and comfort management in building automation and control","volume":"2","year":"2012","journal-title":"Sustainable Cities and Society"},{"key":"key2023040611355815300_ref129","doi-asserted-by":"publisher","first-page":"115147","DOI":"10.1016\/j.apenergy.2020.11514","article-title":"Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization","volume":"271","year":"2020","journal-title":"Applied Energy"},{"key":"key2023040611355815300_ref130","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.enbuild.2014.11.063","article-title":"Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design","volume":"88","year":"2015","journal-title":"Energy and Buildings"},{"key":"key2023040611355815300_ref131","doi-asserted-by":"publisher","first-page":"2540","DOI":"10.1109\/JIOT.2018.2871461","article-title":"Thermal comfort modeling for smart buildings: a fine-grained deep learning approach","volume":"6","year":"2019","journal-title":"IEEE Internet of Things Journal"},{"key":"key2023040611355815300_ref132","doi-asserted-by":"publisher","first-page":"518","DOI":"10.1109\/JIOT.2019.2951106","article-title":"An IoT-based thermal model learning framework for smart buildings","volume":"6","year":"2020","journal-title":"IEEE Internet of Things Journal"},{"key":"key2023040611355815300_ref133","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1016\/j.enbuild.2018.06.040","article-title":"Device-free occupancy detection and crowd counting in smart buildings with WiFi-enabled IoT","volume":"174","year":"2018","journal-title":"Energy and Buildings"},{"issue":"3","key":"key2023040611355815300_ref501","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/s10916-019-1184-x","article-title":"Indoor air quality assessment using a CO2 monitoring system based on internet of things","volume":"43","year":"2019","journal-title":"Journal of Medical Systems"}],"container-title":["Smart and Sustainable Built Environment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/SASBE-10-2021-0185\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/SASBE-10-2021-0185\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T22:35:16Z","timestamp":1753396516000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/sasbe\/article\/12\/3\/584-606\/338690"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,1]]},"references-count":135,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2022,3,1]]},"published-print":{"date-parts":[[2023,4,10]]}},"alternative-id":["10.1108\/SASBE-10-2021-0185"],"URL":"https:\/\/doi.org\/10.1108\/sasbe-10-2021-0185","relation":{},"ISSN":["2046-6099"],"issn-type":[{"value":"2046-6099","type":"print"}],"subject":[],"published":{"date-parts":[[2022,3,1]]}}}