{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T19:59:26Z","timestamp":1775073566424,"version":"3.50.1"},"reference-count":131,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2021,8,26]],"date-time":"2021-08-26T00:00:00Z","timestamp":1629936000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010801","name":"Xunta de Galicia","doi-asserted-by":"publisher","award":["ED431C 2020\/15"],"award-info":[{"award-number":["ED431C 2020\/15"]}],"id":[{"id":"10.13039\/501100010801","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Agencia Estatal de Investigaci\u00f3n of Spain and ERDF funds of the EU (FEDER Galicia 2014-2020 &amp; AEI\/FEDER Programs, UE).","award":["RED2018-102668-T, PID2019-104958RB-C42"],"award-info":[{"award-number":["RED2018-102668-T, PID2019-104958RB-C42"]}]},{"name":"CITIC funded by \u201cConseller\u00eda de Cultura, Educaci\u00f3n e Universidades from Xunta de Galicia\u201d, supported in an 80 % through ERDF Funds, ERDF Operational Programme Galicia 2014-2020, 20 % by \u201cSecretar\u00eda Xeral de Universidades\u201d","award":["ED431G 2019\/01"],"award-info":[{"award-number":["ED431G 2019\/01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Internet of Things (IoT) can help to pave the way to the circular economy and to a more sustainable world by enabling the digitalization of many operations and processes, such as water distribution, preventive maintenance, or smart manufacturing. Paradoxically, IoT technologies and paradigms such as edge computing, although they have a huge potential for the digital transition towards sustainability, they are not yet contributing to the sustainable development of the IoT sector itself. In fact, such a sector has a significant carbon footprint due to the use of scarce raw materials and its energy consumption in manufacturing, operating, and recycling processes. To tackle these issues, the Green IoT (G-IoT) paradigm has emerged as a research area to reduce such carbon footprint; however, its sustainable vision collides directly with the advent of Edge Artificial Intelligence (Edge AI), which imposes the consumption of additional energy. This article deals with this problem by exploring the different aspects that impact the design and development of Edge-AI G-IoT systems. Moreover, it presents a practical Industry 5.0 use case that illustrates the different concepts analyzed throughout the article. Specifically, the proposed scenario consists in an Industry 5.0 smart workshop that looks for improving operator safety and operation tracking. Such an application case makes use of a mist computing architecture composed of AI-enabled IoT nodes. After describing the application case, it is evaluated its energy consumption and it is analyzed the impact on the carbon footprint that it may have on different countries. Overall, this article provides guidelines that will help future developers to face the challenges that will arise when creating the next generation of Edge-AI G-IoT systems.<\/jats:p>","DOI":"10.3390\/s21175745","type":"journal-article","created":{"date-parts":[[2021,8,31]],"date-time":"2021-08-31T22:58:15Z","timestamp":1630450695000},"page":"5745","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":328,"title":["Green IoT and Edge AI as Key Technological Enablers for a Sustainable Digital Transition towards a Smart Circular Economy: An Industry 5.0 Use Case"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4991-6808","authenticated-orcid":false,"given":"Paula","family":"Fraga-Lamas","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Faculty of Computer Science, Universidade da Coru\u00f1a, 15071 A Coru\u00f1a, Spain"},{"name":"Centro de Investigaci\u00f3n CITIC, Universidade da Coru\u00f1a, 15071 A Coru\u00f1a, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6944-7757","authenticated-orcid":false,"given":"S\u00e9rgio Ivan","family":"Lopes","sequence":"additional","affiliation":[{"name":"ADiT-Lab, Instituto Polit\u00e9cnico de Viana do Castelo, Rua da Escola Industrial e Comercial de Nun\u2019Alvares, 4900-347 Viana do Castelo, Portugal"},{"name":"IT\u2014Instituto de Telecomunica\u00e7\u00f5es, Campus Universit\u00e1rio de Santiago, 3810-193 Aveiro, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2179-5917","authenticated-orcid":false,"given":"Tiago M.","family":"Fern\u00e1ndez-Caram\u00e9s","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Faculty of Computer Science, Universidade da Coru\u00f1a, 15071 A Coru\u00f1a, Spain"},{"name":"Centro de Investigaci\u00f3n CITIC, Universidade da Coru\u00f1a, 15071 A Coru\u00f1a, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,26]]},"reference":[{"key":"ref_1","unstructured":"(2021, July 28). UN General Assembly, Transforming Our World: The 2030 Agenda for Sustainable Development, 21 October 2015, A\/RES\/70\/1. Available online: https:\/\/www.refworld.org\/docid\/57b6e3e44.html."},{"key":"ref_2","unstructured":"(2021, July 28). World Economic Forum, Internet of Things Guidelines for Sustainability, Future of Digital Economy and Society System Initiative. Available online: http:\/\/www3.weforum.org\/docs\/IoTGuidelinesforSustainability.pdf."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/MIC.2015.24","article-title":"From the Internet of Things to the Internet of People","volume":"19","author":"Miranda","year":"2015","journal-title":"IEEE Internet Comput."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Miraz, M.H., Ali, M., Excell, P.S., and Picking, R. (2015, January 8\u201311). A review on Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano Things (IoNT). Proceedings of the 2015 Internet Technologies and Applications (ITA), Wrexham, UK.","DOI":"10.1109\/ITechA.2015.7317398"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"15667","DOI":"10.1109\/ACCESS.2017.2686092","article-title":"Green IoT: An Investigation on Energy Saving Practices for 2020 and Beyond","volume":"5","author":"Arshad","year":"2017","journal-title":"IEEE Access"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"38833","DOI":"10.1109\/ACCESS.2021.3061697","article-title":"Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges","volume":"9","author":"Albreem","year":"2021","journal-title":"IEEE Access"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2151","DOI":"10.1109\/ACCESS.2015.2497312","article-title":"Green Internet of Things for Smart World","volume":"3","author":"Zhu","year":"2015","journal-title":"IEEE Access"},{"key":"ref_8","first-page":"1","article-title":"Sustaining Moore\u2019s Law: Uncertainty Leading to a Certainty of IoT Revolution","volume":"1","author":"Mulay","year":"2015","journal-title":"Morgan Claypool"},{"key":"ref_9","unstructured":"Communication from the Commission to the European Parliament, the European Council, the Council, the European Economic\r and Social Committee and the Committee of the Regions (2021, July 28). The European Green Deal. Bussels. Available online: https:\/\/ec.europa.eu\/info\/sites\/info\/files\/european-green-deal-communication_en.pdf."},{"key":"ref_10","unstructured":"(2021, July 28). United Nation\u2019s 2030 Agenda and Sustainable Development Goals. Available online: https:\/\/sustainabledevelopment.un.org\/."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Askoxylakis, I. (2018, January 20\u201324). A Framework for Pairing Circular Economy and the Internet of Things. Proceedings of the 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, USA.","DOI":"10.1109\/ICC.2018.8422488"},{"key":"ref_12","unstructured":"European Commission (2021, July 28). Circular Economy Action Plan. Available online: https:\/\/ec.europa.eu\/environment\/strategy\/circular-economy-action-plan_es."},{"key":"ref_13","unstructured":"World Economic Forum (2021, July 28). Circular Economy and Material Value Chains. Available online: https:\/\/www.weforum.org\/projects\/circular-economy."},{"key":"ref_14","unstructured":"(2021, July 28). Explore the Circularity Gap Report 2021. Available online: https:\/\/www.circularity-gap.world."},{"key":"ref_15","unstructured":"(2021, July 28). Digital Circular Economy: A Cornerstone of a Sustainable European Industry Transformation. White Paper-ECERA European Circular Economy Research Alliance. Available online: https:\/\/www.era-min.eu\/sites\/default\/files\/publications\/201023_ecera_white_paper_on_digital_circular_economy.pdf."},{"key":"ref_16","unstructured":"(2021, July 28). PACE (Platform for Accelerating the Circular Economy) and World Economic Forum. A New Cicular Vision for Electronics. Time for a Global Reboot. Available online: http:\/\/www3.weforum.org\/docs\/WEF_A_New_Circular_Vision_for_Electronics.pdf."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez-Caram\u00e9s, T.M., and Fraga-Lamas, P. (2019). Design of a Fog Computing, Blockchain and IoT-Based Continuous Glucose Monitoring System for Crowdsourcing mHealth. Proceedings, 4.","DOI":"10.3390\/ecsa-5-05757"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"150936","DOI":"10.1109\/ACCESS.2019.2947652","article-title":"Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog","volume":"7","author":"Tange","year":"2019","journal-title":"IEEE Access"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Fraga-Lamas, P., Ramos, L., Mond\u00e9jar-Guerra, V., and Fern\u00e1ndez-Caram\u00e9s, T.M. (2019). A Review on IoT Deep Learning UAV Systems for Autonomous Obstacle Detection and Collision Avoidance. Remote Sens., 11.","DOI":"10.3390\/rs11182144"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"102505","DOI":"10.1016\/j.adhoc.2021.102505","article-title":"Green internet of things using UAVs in B5G networks: A review of applications and strategies","volume":"117","author":"Alsamhi","year":"2021","journal-title":"Ad Hoc Netw."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"32328","DOI":"10.1109\/ACCESS.2018.2837692","article-title":"Big Data Analytics, Machine Learning, and Artificial Intelligence in Next-Generation Wireless Networks","volume":"6","author":"Kibria","year":"2018","journal-title":"IEEE Access"},{"key":"ref_22","unstructured":"(2021, July 28). European Commission, Industry 5.0: Towards a Sustainable, Human-centric and Resilient European Industry. Available online: https:\/\/ec.europa.eu\/info\/news\/industry-50-towards-more-sustainable-resilient-and-human-centric-industry-2021-jan-07_en."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Nahavandi, S. (2019). Industry 5.0\u2014A Human-Centric Solution. Sustainability, 11.","DOI":"10.3390\/su11164371"},{"key":"ref_24","unstructured":"Paschek, D., Mocan, A., and Draghici, A. (2019, January 15\u201317). Industry 5.0\u2014The expected impact of next industrial revolution. Proceedings of the MakeLearn & TIIM Conference, Piran, Slovenia."},{"key":"ref_25","unstructured":"(2021, July 28). Council for Science, Technology and Innovation, Government of Japan, Report on The 5th Science and Technology Basic Plan, Available online: https:\/\/www8.cao.go.jp\/cstp\/kihonkeikaku\/5basicplan_en.pdf."},{"key":"ref_26","unstructured":"(2021, July 28). Keidanren (Japan Business Federation), Society 5.0: Co-Creating the Future. Available online: https:\/\/www.keidanren.or.jp\/en\/policy\/2018\/095.html."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Blanco-Novoa, O., Fern\u00e1ndez-Caram\u00e9s, T.M., Fraga-Lamas, P., and Castedo, L. (2017). An Electricity-Price Aware Open-Source Smart Socket for the Internet of Energy. Sensors, 17.","DOI":"10.3390\/s17030643"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Su\u00e1rez-Albela, M., Fraga-Lamas, P., Fern\u00e1ndez-Caram\u00e9s, T.M., Dapena, A., and Gonz\u00e1lez-L\u00f3pez, M. (2016). Home Automation System Based on Intelligent Transducer Enablers. Sensors, 16.","DOI":"10.3390\/s16101595"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"P\u00e9rez-Exp\u00f3sito, J.M., Fern\u00e1ndez-Caram\u00e9s, T.M., Fraga-Lamas, P., and Castedo, L. (2017). VineSens: An Eco-Smart Decision Support Viticulture System. Sensors, 3.","DOI":"10.3390\/s17030465"},{"key":"ref_30","unstructured":"Wang, H., Osen, O.L., Li, G., Li, W., Dai, H.-N., and Zeng, W. (2015, January 1\u20134). Big data and industrial Internet of Things for the maritime industry in Northwestern Norway. Proceedings of the TENCON, Macao, China."},{"key":"ref_31","first-page":"1","article-title":"Challenges and Research Issues of Data Management in IoT for Large-Scale Petrochemical Plants","volume":"99","author":"Shu","year":"2017","journal-title":"IEEE Syst. J."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Fraga-Lamas, P., Fern\u00e1ndez-Caram\u00e9s, T.M., Su\u00e1rez-Albela, M., Castedo, L., and Gonz\u00e1lez-L\u00f3pez, M. (2016). A Review on Internet of Things for Defense and Public Safety. Sensors, 16.","DOI":"10.3390\/s16101644"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1109\/MITP.2017.3051335","article-title":"Can Blockchain Strengthen the Internet of Things?","volume":"19","author":"Kshetri","year":"2017","journal-title":"IT Prof."},{"key":"ref_34","unstructured":"Gartner (2021, July 28). Forecast: The Internet of Things, Worldwide. Available online: https:\/\/www.gartner.com\/en\/documents\/2625419\/forecast-the-internet-of-things-worldwide-2013."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Bonomi, F., Milito, R., Zhu, J., and Addepalli, S. (2012, January 17). Fog Computing and its Role in the Internet of Things. Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, Helsinki, Finlad.","DOI":"10.1145\/2342509.2342513"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Dolui, K., and Datta, S.K. (2017, January 6\u20139). Comparison of edge computing implementations: Fog computing, cloudlet and mobile edge computing. Proceedings of the Global Internet of Things Summit (GIoTS), Geneva, Switzerland.","DOI":"10.1109\/GIOTS.2017.8016213"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Su\u00e1rez-Albela, M., Fern\u00e1ndez-Caram\u00e9s, T.M., Fraga-Lamas, P., and Castedo, L. (2017). A Practical Evaluation of a High-Security Energy-Efficient Gateway for IoT Fog Computing Applications. Sensors, 17.","DOI":"10.3390\/s17091978"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"13358","DOI":"10.1109\/ACCESS.2018.2808326","article-title":"A Review on Industrial Augmented Reality Systems for the Industry 4.0 Shipyard","volume":"6","year":"2018","journal-title":"IEEE Access"},{"key":"ref_39","first-page":"460","article-title":"The Rise of Human Machines: How Cognitive Computing Systems Challenge Assumptions of User-System Interaction","volume":"21","author":"Schuetz","year":"2020","journal-title":"J. Assoc. Inf. Syst."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1109\/MC.2015.207","article-title":"The Benefits of Self-Awareness and Attention in Fog and Mist Computing","volume":"48","author":"Preden","year":"2015","journal-title":"Computer"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez-Caram\u00e9s, T.M., Fraga-Lamas, P., Su\u00e1rez-Albela, M., and Vilar-Montesinos, M. (2018). A Fog Computing and Cloudlet Based Augmented Reality System for the Industry 4.0 Shipyard. Sensors, 18.","DOI":"10.3390\/s18061798"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Su\u00e1rez-Albela, M., Fraga-Lamas, P., and Fern\u00e1ndez-Caram\u00e9s, T.M. (2018). A Practical Evaluation on RSA and ECC-Based Cipher Suites for IoT High-Security Energy-Efficient Fog and Mist Computing Devices. Sensors, 18.","DOI":"10.3390\/s18113868"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1109\/MCOM.2017.1600730","article-title":"EXEGESIS: Extreme Edge Resource Harvesting for a Virtualized Fog Environment","volume":"55","author":"Markakis","year":"2017","journal-title":"IEEE Commun. Mag."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1513","DOI":"10.1109\/ACCESS.2017.2779263","article-title":"Decentralized Consensus for Edge-Centric Internet of Things: A Review, Taxonomy, and Research Issues","volume":"6","author":"Yeow","year":"2018","journal-title":"IEEE Access"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"3370","DOI":"10.1109\/TIE.2020.2979557","article-title":"Field-Programmable System-on-Chip-Based Control System for Real-Time Distortion Correction in Optical Imaging","volume":"68","author":"Radner","year":"2021","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_46","first-page":"343690","article-title":"Design and implementation of a generic energy- harvesting framework applied to the evaluation of a large-scale electronic shelf-labeling wireless sensor network","volume":"2020","author":"Jooris","year":"2010","journal-title":"J. Wireless Com. Netw."},{"key":"ref_47","first-page":"1680","article-title":"RF Energy Harvesting and Transfer for Spectrum Sharing Cellular IoT Communications in 5G Systems","volume":"17","author":"Ercan","year":"2018","journal-title":"IEEE Commun. Mag."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1109\/MCOM.2017.1600218CM","article-title":"Efficient Energy Management for the Internet of Things in Smart Cities","volume":"55","author":"Ejaz","year":"2017","journal-title":"IEEE Commun. Mag."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Lazaro, A., Villarino, R., and Girbau, D. (2018). A Survey of NFC Sensors Based on Energy Harvesting for IoT Applications. Sensors, 18.","DOI":"10.3390\/s18113746"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Coksun, V., Ok, K., and Ozdenizci, B. (2012). Near Field Communications: From Theory to Practice, Wiley. [1st ed.].","DOI":"10.1002\/9781119965794"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Fraga-Lamas, P., and Fern\u00e1ndez-Caram\u00e9s, T.M. (2017, January 9\u201311). Reverse engineering the communications protocol of an RFID public transportation card. Proceedings of the IEEE International Conference RFID, Phoenix, AZ, USA.","DOI":"10.1109\/RFID.2017.7945583"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1109\/MIM.2017.7919135","article-title":"Towards fourth industrial revolution impact: Smart product based on RFID technology","volume":"20","author":"Murofushi","year":"2017","journal-title":"IEEE Instrum. Meas. Mag."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"214805","DOI":"10.1155\/2015\/214805","article-title":"An Intelligent Power Outlet System for the Smart Home of the Internet-of-Things","volume":"11","year":"2015","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Held, I., and Chen, A. (2010, January 16\u201319). Channel Estimation and Equalization Algorithms for Long Range Bluetooth Signal Reception. Proceedings of the IEEE Vehicular Technology Conference, Taipei, Taiwan.","DOI":"10.1109\/VETECS.2010.5493918"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Hern\u00e1ndez-Rojas, D.L., Fern\u00e1ndez-Caram\u00e9s, T.M., Fraga-Lamas, P., and Escudero, C.J. (2017). Design and Practical Evaluation of a Family of Lightweight Protocols for Heterogeneous Sensing through BLE Beacons in IoT Telemetry Applications. Sensors, 18.","DOI":"10.3390\/s18010057"},{"key":"ref_56","unstructured":"(2021, July 28). ZigBee Alliance. Available online: http:\/\/www.zigbee.org."},{"key":"ref_57","unstructured":"Khutsoane, O., Isong, B., and Abu-Mahfouz, A.M. (November, January 29). IoT devices and applications based on LoRa\/LoRaWAN. Proceedings of the Annual Conference of the IEEE Industrial Electronics Society, Beijing, China."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"4467","DOI":"10.1007\/s11277-017-4734-x","article-title":"Precise indoor positioning using UWB: A review of methods, algorithms and implementations","volume":"97","author":"Mazhar","year":"2017","journal-title":"Wirel. Pers. Commun."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1109\/MWC.2014.7000982","article-title":"IEEE 802.11AH: The WiFi approach for M2M communications","volume":"21","author":"Adame","year":"2014","journal-title":"IEEE Wirel. Commun."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"202439","DOI":"10.1109\/ACCESS.2020.2984495","article-title":"A Novel Relay Node Placement and Energy Efficient Routing Method for Heterogeneous Wireless Sensor Networks","volume":"8","author":"Xie","year":"2020","journal-title":"IEEE Access"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Bagula, A., Abidoye, A.P., and Zodi, G.-A.L. (2016). Service-Aware Clustering: An Energy-Efficient Model for the Internet-of-Things. Sensors, 16.","DOI":"10.3390\/s16010009"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1109\/JSYST.2015.2469676","article-title":"An Energy-Efficient Architecture for the Internet of Things (IoT)","volume":"11","author":"Kaur","year":"2017","journal-title":"IEEE Syst. J."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Xia, S., Yao, Z., Li, Y., and Mao, S. (2021). Online Distributed Offloading and Computing Resource Management with Energy Harvesting for Heterogeneous MEC-enabled IoT. IEEE Trans. Wirel. Commun.","DOI":"10.1109\/TWC.2021.3076201"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1109\/MSP.2018.2825478","article-title":"IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?","volume":"35","author":"Xiao","year":"2018","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Su\u00e1rez-Albela, M., Fern\u00e1ndez-Caram\u00e9s, T.M., Fraga-Lamas, P., and Castedo, L. (2018, January 4\u20137). A Practical Performance Comparison of ECC and RSA for Resource-Constrained IoT Devices. Proceedings of the 2018 Global Internet of Things Summit (GIoTS), Bilbao, Spain.","DOI":"10.1109\/GIOTS.2018.8534575"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1145\/359340.359342","article-title":"A method for obtaining digital signatures and public-key cryptosystems","volume":"21","author":"Rivest","year":"1978","journal-title":"Commun. ACM"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1090\/S0025-5718-1987-0866109-5","article-title":"Elliptic curve cryptosystems","volume":"48","author":"Koblitz","year":"1987","journal-title":"Math. Comput."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1007\/3-540-39799-X_31","article-title":"Use of elliptic curves in cryptography","volume":"218","author":"Miller","year":"1985","journal-title":"Proc. Adv. Cryptol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"644","DOI":"10.1109\/TIT.1976.1055638","article-title":"New directions in cryptography","volume":"IT-22","author":"Diffie","year":"1976","journal-title":"IEEE Trans. Inf. Theory"},{"key":"ref_70","unstructured":"(2021, July 28). The Transport Layer Security (TLS) Protocol Version 1.3. Available online: https:\/\/datatracker.ietf.org\/doc\/html\/rfc8446."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1109\/JPROC.2017.2780172","article-title":"Wireless Communication and Security Issues for Cyber-Physical Systems and the Internet-of-Things","volume":"106","author":"Burg","year":"2018","journal-title":"Proc. IEEE"},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Scharfglass, K., Weng, D., White, J., and Lupo, C. (2012, January 14\u201316). Breaking Weak 1024-bit RSA Keys with CUDA. Proceedings of the 2012 13th International Conference on Parallel and Distributed Computing, Applications and Technologies, Beijing, China.","DOI":"10.1109\/PDCAT.2012.58"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1109\/TC.2016.2623609","article-title":"Elliptic Curve Cryptography with Efficiently Computable Endomorphisms and Its Hardware Implementations for the Internet of Things","volume":"66","author":"Liu","year":"2017","journal-title":"IEEE Trans. Comput."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"999","DOI":"10.1109\/TVLSI.2008.2000450","article-title":"Cost-Efficient SHA Hardware Accelerators","volume":"16","author":"Chaves","year":"2008","journal-title":"IEEE Trans. Very Large Scale Integr. Syst."},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Gielata, A., Russek, P., and Wiatr, K. (2008, January 14\u201317). AES hardware implementation in FPGA for algorithm acceleration purpose. Proceedings of the 2008 International Conference on Signals and Electronic Systems, Krakow, Poland.","DOI":"10.1109\/ICSES.2008.4673377"},{"key":"ref_76","unstructured":"(2021, July 28). IoT Analytics, State of IoT Q4\/2020 & Outlook 2021. Available online: https:\/\/iot-analytics.com\/product\/state-of-iot-q4-2020-outlook-2021\/."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.1109\/TGCN.2021.3076695","article-title":"Energy-Efficient Cross-layer Spectrum Sharing in CR Green IoT Networks","volume":"5","author":"Salameh","year":"2021","journal-title":"IEEE Trans. Green Commun. Netw."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/MNET.001.1900526","article-title":"Blockchain Technology Toward Green IoT: Opportunities and Challenges","volume":"34","author":"Sharma","year":"2020","journal-title":"IEEE Netw."},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Bol, D., de Streel, G., and Flandre, D. (2015, January 5\u20138). Can we connect trillions of IoT sensors in a sustainable way? A technology\/circuit perspective. Proceedings of the IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S), Rohnert Park, CA, USA.","DOI":"10.1109\/S3S.2015.7333500"},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Fafoutis, X., and Marchegiani, L. (2019, January 14\u201317). Rethinking IoT Network Reliability in the Era of Machine Learning. Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Atlanta, GA, USA.","DOI":"10.1109\/iThings\/GreenCom\/CPSCom\/SmartData.2019.00189"},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Zhou, Z., Xie, M., Zhu, T., Xu, W., Yi, P., Huang, Z., Zhang, Q., and Xiao, S. (2014, January 3\u20135). EEP2P: An energy-efficient and economy-efficient P2P network protocol. Proceedings of the International Green Computing Conference, Dallas, TX, USA.","DOI":"10.1109\/IGCC.2014.7039171"},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Sharifi, L., Rameshan, N., Freitag, F., and Veiga, L. (2014, January 15\u201318). Energy Efficiency Dilemma: P2P-cloud vs. Datacenter. Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, Singapore.","DOI":"10.1109\/CloudCom.2014.137"},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Zhang, P., and Helvik, B.E. (2012, January 2\u20136). Towards green P2P: Analysis of energy consumption in P2P and approaches to control. Proceedings of the International Conference on High Performance Computing & Simulation (HPCS), Madrid, Spain.","DOI":"10.1109\/HPCSim.2012.6266934"},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Miyake, S., and Bandai, M. (2013, January 25\u201328). Energy-Efficient Mobile P2P Communications Based on Context Awareness. Proceedings of the IEEE 27th International Conference on Advanced Information Networking and Applications (AINA), Barcelona, Spain.","DOI":"10.1109\/AINA.2013.92"},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Liao, C.C., Cheng, S.M., and Domb, M. (2017, January 4\u20137). On Designing Energy Efficient Wi-Fi P2P Connections for Internet of Things. Proceedings of the IEEE 85th Vehicular Technology Conference (VTC Spring), Sydney, Australia.","DOI":"10.1109\/VTCSpring.2017.8108292"},{"key":"ref_86","unstructured":"(2021, July 28). EPA, Report on Server and Data Center Energy Efficiency, Available online: https:\/\/www.energystar.gov\/ia\/partners\/prod_development\/downloads\/EPA_Report_Exec_Summary_Final.pdf."},{"key":"ref_87","unstructured":"Schneider Electric (2010). White Paper: Estimating a Data Center\u2019s Electrical Carbon Footprint, Schneider Electric."},{"key":"ref_88","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez-Caram\u00e9s, T.M., Fraga-Lamas, P., Su\u00e1rez-Albela, M., and D\u00edaz-Bouza, M.A. (2018). A Fog Computing Based Cyber-Physical System for the Automation of Pipe-Related Tasks in the Industry 4.0 Shipyard. Sensors, 18.","DOI":"10.3390\/s18061961"},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"48088","DOI":"10.1109\/ACCESS.2020.2979323","article-title":"Federated Cooperation and Augmentation for Power Allocation in Decentralized Wireless Networks","volume":"8","author":"Yan","year":"2020","journal-title":"IEEE Access"},{"key":"ref_90","doi-asserted-by":"crossref","unstructured":"Ray, S. (2019, January 14\u201316). A Quick Review of Machine Learning Algorithms. Proceedings of the 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), Faridabad, India.","DOI":"10.1109\/COMITCon.2019.8862451"},{"key":"ref_91","doi-asserted-by":"crossref","unstructured":"Samek, W., Montavon, G., Vedaldi, A., Hansen, L.K., and Muller, K.-R. (2019). Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, Springer Nature Switzerland AG.","DOI":"10.1007\/978-3-030-28954-6"},{"key":"ref_92","doi-asserted-by":"crossref","unstructured":"Rausch, T., and Dustdar, S. (2019, January 24\u201327). Edge Intelligence: The Convergence of Humans, Things, and AI. Proceedings of the 2019 IEEE International Conference on Cloud Engineering (IC2E), Prague, Czech Republic.","DOI":"10.1109\/IC2E.2019.00022"},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1109\/MDAT.2019.2952350","article-title":"EdgeAI: A Vision for Deep Learning in IoT Era","volume":"38","author":"Bhardwaj","year":"2021","journal-title":"IEEE Des. Test"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"3189","DOI":"10.3390\/su13063189","article-title":"Towards a Smart & Sustainable Campus: An Application-Oriented Architecture to Streamline Digitization and Strengthen Sustainability in Academia","volume":"13","author":"Martins","year":"2021","journal-title":"Sustainability"},{"key":"ref_95","doi-asserted-by":"crossref","unstructured":"Martins, P., Lopes, S.I., Curado, A., Rocha, \u00c1., Adeli, H., Dzemyda, G., Moreira, F., and Ramalho Correia, A.M. (2021). Designing a FIWARE-Based Smart Campus with IoT Edge-Enabled Intelligence. Trends and Applications in Information Systems and Technologies, Springer Nature Switzerland AG. Advances in Intelligent Systems and Computing.","DOI":"10.1007\/978-3-030-72660-7_53"},{"key":"ref_96","doi-asserted-by":"crossref","unstructured":"Alvarado, I. (2019, January 4\u20135). AI-enabled IoT, Network Complexity and 5G. Proceedings of the 2019 IEEE Green Energy and Smart Systems Conference (IGESSC), Long Beach, CA, USA.","DOI":"10.1109\/IGESSC47875.2019.9042388"},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Zou, Z., Jin, Y., Nevalainen, P., Huan, Y., Heikkonen, J., and Westerlund, T. (2019, January 18\u201320). Edge and Fog Computing Enabled AI for IoT-An Overview. Proceedings of the 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Hsinchu, Taiwan.","DOI":"10.1109\/AICAS.2019.8771621"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"3905","DOI":"10.1109\/TCSI.2020.3012576","article-title":"Always-On 674\u03bcW@4GOP\/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22-nm IoT End-Node","volume":"67","author":"Mauro","year":"2020","journal-title":"IEEE Trans. Circuits Syst. I Regul. Pap."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"107281","DOI":"10.1016\/j.patcog.2020.107281","article-title":"Binary neural networks: A survey, Pattern Recognition","volume":"105","author":"Qin","year":"2020","journal-title":"Pattern Recognit."},{"key":"ref_100","unstructured":"(2021, July 28). Tensor Flow Light Guide. Available online: https:\/\/www.tensorflow.org\/lite\/guide."},{"key":"ref_101","unstructured":"(2021, July 28). Arduino Nano 33 BLE Sense. Available online: https:\/\/store.arduino.cc\/arduino-nano-33-ble-sense."},{"key":"ref_102","unstructured":"(2021, July 28). SparkFun Edge Development Board-Apollo3. Blue. Available online: https:\/\/www.sparkfun.com\/products\/15170."},{"key":"ref_103","unstructured":"(2021, July 28). Adafruit EdgeBadge-Tensorflow Lite for Microcontrollers. Available online: https:\/\/www.adafruit.com\/product\/4400."},{"key":"ref_104","unstructured":"Espressif Systems (2021, July 28). ESP32 Overview. Available online: https:\/\/www.espressif.com\/en\/products\/devkits\/esp32-devkitc\/overview."},{"key":"ref_105","unstructured":"Espressif Systems (2021, July 28). ESP-EYE-Enabling a Smarter Future with Audio and Visual AIoT. Available online: https:\/\/www.espressif.com\/en\/products\/devkits\/esp-eye\/overview."},{"key":"ref_106","unstructured":"(2021, July 28). STM32, Nucleo-L4R5ZI Product Overview. Available online: https:\/\/www.st.com\/en\/evaluation-tools\/nucleo-l4r5zi.html."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"2167","DOI":"10.1109\/COMST.2020.3007787","article-title":"Communication-Efficient Edge AI: Algorithms and Systems","volume":"22","author":"Shi","year":"2020","journal-title":"IEEE Commun. Surv. Tutor,"},{"key":"ref_108","unstructured":"Rocha, A., Adeli, H., Dzemyda, G., Moreira, F., and Ramalho Correia, A.M. (April, January 30). Trends and Applications in Information Systems and Technologies Features. Proceedings of the 9th World Conference on Information Systems and Technologies (WorldCIST\u201921), Terceira Island, Azores, Portugal."},{"key":"ref_109","doi-asserted-by":"crossref","unstructured":"Merenda, M., Porcaro, C., and Iero, D. (2020). Edge Machine Learning for AI-Enabled IoT Devices: A Review. Sensors, 9.","DOI":"10.3390\/s20092533"},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"1738","DOI":"10.1109\/JPROC.2019.2918951","article-title":"Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing","volume":"107","author":"Zhou","year":"2019","journal-title":"Proc. IEEE"},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1007\/s00034-019-01226-7","article-title":"A Hardware Acceleration Platform for AI-Based Inference at the Edge","volume":"39","author":"Karras","year":"2020","journal-title":"Circuits Syst Signal Process."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"211422","DOI":"10.1109\/ACCESS.2020.3039278","article-title":"CPU-Accelerator Co-Scheduling for CNN Acceleration at the Edge","volume":"8","author":"Kim","year":"2020","journal-title":"IEEE Access"},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"216259","DOI":"10.1109\/ACCESS.2020.3038908","article-title":"Energy-Efficient Acceleration of Deep Neural Networks on Realtime-Constrained Embedded Edge Devices","volume":"8","author":"Kim","year":"2020","journal-title":"IEEE Access"},{"key":"ref_114","unstructured":"Reddi, V.J., Plancher, B., Kennedy, S., Moroney, L., Warden, P., Agarwal, A., Banbury, C., Banzi, M., Bennett, M., and Brown, B. (2021). Widening Access to Applied Machine Learning with TinyML. arXiv."},{"key":"ref_115","unstructured":"(2021, July 28). MLCommons\u2122, MLPerf\u2122 Tiny Inference Benchmark v0.5 Benchmark, San Francisco, CA. Available online: https:\/\/mlcommons.org\/en\/inference-tiny-05\/."},{"key":"ref_116","unstructured":"Banbury, C., Reddi, V.J., Torelli, P., Holleman, J., Jeffries, N., Kiraly, C., Montino, P., Kanter, D., Ahmed, S., and Pau, D. (2021). MLPerf Tiny Benchmark. arXiv."},{"key":"ref_117","unstructured":"Amodei, D., and Hernandez, D. (2021, July 28). AI and Compute. Available online: https:\/\/openai.com\/blog\/ai-and-compute\/."},{"key":"ref_118","unstructured":"Schwartz, R., Dodge, J., Smith, N.A., and Etzioni, O. (2019). Green AI. arXiv."},{"key":"ref_119","doi-asserted-by":"crossref","unstructured":"Huang, J., Rathod, V., Sun, C., Zhu, M., Korattikara, A., Fathi, A., Fischer, I., Wojna, Z., Song, Y., and Guadarrama, S. (2017, January 21\u201326). Speed\/Accuracy Trade-Offs for Modern Convolutional Object Detectors. Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA.","DOI":"10.1109\/CVPR.2017.351"},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1145\/3154384","article-title":"Energy efficiency: A new concern for application software developers","volume":"60","author":"Pinto","year":"2017","journal-title":"Commun. ACM"},{"key":"ref_121","doi-asserted-by":"crossref","unstructured":"Strubell, E., Ganesh, A., and McCallum, A. (2019). Energy and Policy Considerations for Deep Learning in NLP. arXiv.","DOI":"10.18653\/v1\/P19-1355"},{"key":"ref_122","unstructured":"(2021, July 28). World Data Bank, CO2 Emissions (Metric Tons per Capita). Available online: https:\/\/data.worldbank.org\/indicator\/EN.ATM.CO2E.PC."},{"key":"ref_123","unstructured":"Lundeg\u00e5rd, A.D.Y. (2019). GreenML\u2014A Methodology for Fair Evaluation of Machine Learning Algorithms with Respect to Resource Consumption. [Master\u2019s Thesis, Department of Computer and Information Science, Link\u00f6ping University]."},{"key":"ref_124","doi-asserted-by":"crossref","unstructured":"Jouppi, N.P., Young, C., Patil, N., Patterson, D., Agrawal, G., Bajwa, R., Bates, S., Bhatia, S., Boden, N., and Borchers, A. (2017, January 24\u201328). In-Datacenter Performance Analysis of a Tensor Processing Unit. Proceedings of the 44th Annual International Symposium on Computer Architecture (ISCA \u201917), Toronto, ON, Canada.","DOI":"10.1145\/3079856.3080246"},{"key":"ref_125","doi-asserted-by":"crossref","unstructured":"Fraga-Lamas, P., Fern\u00e1ndez-Caram\u00e9s, T.M., Noceda-Davila, D., D\u00edaz-Bouza, M.A., Pena-Agras, J.D., and Castedo, L. (2017, January 14\u201315). Enabling automatic event detection for the pipe workshop of the shipyard 4.0. Proceedings of the 2017 56th FITCE Congress, Madrid, Spain.","DOI":"10.1109\/FITCE.2017.8093002"},{"key":"ref_126","doi-asserted-by":"crossref","unstructured":"Fraga-Lamas, P., Fern\u00e1ndez-Caram\u00e9s, T.M., Noceda-Davila, D., and Vilar-Montesinos, M. (2017, January 9\u201311). RSS stabilization techniques for a real-time passive UHF RFID pipe monitoring system for smart shipyards. Proceedings of the 2017 IEEE International Conference on RFID (RFID), Phoenix, AZ, USA.","DOI":"10.1109\/RFID.2017.7945603"},{"key":"ref_127","doi-asserted-by":"crossref","unstructured":"Fraga-Lamas, P., Noceda-Davila, D., Fern\u00e1ndez-Caram\u00e9s, T.M., D\u00edaz-Bouza, M.A., and Vilar-Montesinos, M. (2016). Smart Pipe System for a Shipyard 4.0. Sensors, 16.","DOI":"10.3390\/s16122186"},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"1647","DOI":"10.1016\/j.joule.2019.05.012","article-title":"The Carbon Footprint of Bitcoin","volume":"3","author":"Stoll","year":"2019","journal-title":"Joule"},{"key":"ref_129","unstructured":"(2021, July 28). Electricity Maps Public Website. Available online: https:\/\/www.electricitymap.org."},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1109\/MNET.2019.1900025","article-title":"Secure distributed on-device learning networks with byzantine adversaries","volume":"33","author":"Dong","year":"2019","journal-title":"IEEE Netw."},{"key":"ref_131","unstructured":"(2021, July 28). NVIDIA, NVIDIA Clara: An Application Framework Optimized for Healthcare and Life Sciences Developers. Available online: https:\/\/developer.nvidia.com\/clara."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/17\/5745\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:52:33Z","timestamp":1760165553000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/17\/5745"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,26]]},"references-count":131,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2021,9]]}},"alternative-id":["s21175745"],"URL":"https:\/\/doi.org\/10.3390\/s21175745","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,26]]}}}