{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:12:28Z","timestamp":1775837548073,"version":"3.50.1"},"reference-count":17,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2024,5,25]],"date-time":"2024-05-25T00:00:00Z","timestamp":1716595200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia","award":["GrantA405"],"award-info":[{"award-number":["GrantA405"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>With the growing integration of the Internet of Things in smart buildings, it is crucial to ensure the precise implementation and operation of wireless sensor networks (WSNs). This paper aims to study the implementation aspect of WSNs in a commercial multi-story building, specifically addressing the difficulty of dealing with the variable environmental conditions on each floor. This research addresses the disparity between simulated situations and actual deployments, offering valuable insights into the potential to significantly improve the efficiency and responsiveness of building management systems. We obtain real-time sensor data to analyze and evaluate the system\u2019s performance. Our investigation is grounded in the growing importance of incorporating WSNs into buildings to create intelligent environments. We provide an in-depth analysis for scrutinizing the disparities and commonalities between the datasets obtained from real-world deployments and simulation. The results obtained show the significance of accurate simulation models for reliable data representation, providing a roadmap for further developments in the integration of WSNs into intelligent building scenarios. This research\u2019s findings highlight the potential for optimizing living and working conditions based on the real-time monitoring of critical environmental parameters. This includes insights into temperature, humidity, and light intensity, offering opportunities for enhanced comfort and efficiency in intelligent environments.<\/jats:p>","DOI":"10.3390\/s24113415","type":"journal-article","created":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T09:33:31Z","timestamp":1716802411000},"page":"3415","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Deploying Wireless Sensor Networks in Multi-Story Buildings toward Internet of Things-Based Intelligent Environments: An Empirical Study"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2770-8319","authenticated-orcid":false,"given":"Nurul I.","family":"Sarkar","sequence":"first","affiliation":[{"name":"Computer Science and Software Engineering, Auckland University of Technology, Auckland 1010, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sonia","family":"Gul","sequence":"additional","affiliation":[{"name":"Department of Computer Networks and Communications, College of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa 31982, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,25]]},"reference":[{"key":"ref_1","first-page":"102225","article-title":"An emergy-based approach to evaluate the effectiveness of integrating IoT-based sensing systems into smart buildings","volume":"52","author":"Kumar","year":"2022","journal-title":"Sustain. 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Sci. Eng."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"102830","DOI":"10.1016\/j.scs.2021.102830","article-title":"Accurate performance prediction of IoT communication systems for smart cities: An efficient deep learning based solution","volume":"69","author":"Said","year":"2021","journal-title":"Sustain. Cities Soc."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Marinakis, V., and Doukas, H. (2018). An advanced IoT-based system for intelligent energy management in buildings. Sensors, 18.","DOI":"10.3390\/s18020610"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"42181","DOI":"10.1109\/ACCESS.2024.3377662","article-title":"UMBRELLA: A One-Stop Shop Bridging the Gap From Lab to Real-World IoT Experimentation","volume":"12","author":"Mavromatis","year":"2024","journal-title":"IEEE Access"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"8841893","DOI":"10.1155\/2020\/8841893","article-title":"Automated real-time intelligent traffic control system for smart cities using wireless sensor networks","volume":"2020","author":"Hilmani","year":"2020","journal-title":"Wirel. Commun. Mob. Comput."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Khriji, S., El Houssaini, D., Kammoun, I., and Kanoun, O. (2021). Precision irrigation: An IoT-enabled wireless sensor network for smart irrigation systems. 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Available online: https:\/\/www.ns2project.com\/contiki-developers-network-simulator\/."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/11\/3415\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:48:53Z","timestamp":1760107733000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/24\/11\/3415"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,25]]},"references-count":17,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2024,6]]}},"alternative-id":["s24113415"],"URL":"https:\/\/doi.org\/10.3390\/s24113415","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,25]]}}}