{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T14:38:57Z","timestamp":1777127937407,"version":"3.51.4"},"reference-count":30,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T00:00:00Z","timestamp":1657152000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Smart cities using the Internet of Things (IoT) can operate various IoT systems with better services that provide intelligent and efficient solutions for various aspects of urban life. With the rapidly growing number of IoT systems, the many smart city services, and their various quality of service (QoS) constraints, servers face the challenge of allocating limited resources across all Internet-based applications to achieve an efficient per-formance. The presence of a cloud in the IoT system of a smart city results in high energy con-sumption and delays in the network. Edge computing is based on a cloud computing framework where computation, storage, and network resources are moved close to the data source. The IoT framework is identical to cloud computing. The critical issue in edge computing when executing tasks generated by IoT systems is the efficient use of energy while maintaining delay limitations. In this paper, we study a multicriteria optimization approach for resource allocation with distributed edge computing in IoT-based smart cities. We present a three-layer network architecture for IoT-based smart cities. An edge resource allocation scheme based on an auctionable approach is proposed to ensure efficient resource computation for delay-sensitive tasks.<\/jats:p>","DOI":"10.3390\/info13070328","type":"journal-article","created":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T07:51:56Z","timestamp":1657180316000},"page":"328","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Distributed Edge Computing for Resource Allocation in Smart Cities Based on the IoT"],"prefix":"10.3390","volume":"13","author":[{"given":"Omar Abdulkareem","family":"Mahmood","sequence":"first","affiliation":[{"name":"Department of Communications Engineering, College of Engineering, University of Diyala, Baquba 32001, Iraq"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8410-738X","authenticated-orcid":false,"given":"Ali R.","family":"Abdellah","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, Al-Azhar University, Qena 83513, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0213-8145","authenticated-orcid":false,"given":"Ammar","family":"Muthanna","sequence":"additional","affiliation":[{"name":"Department of Telecommunication Networks and Data Transmission, the Bonch-Bruevich Saint-Petersburg State University of Telecommunications, 193232 St. Petersburg, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrey","family":"Koucheryavy","sequence":"additional","affiliation":[{"name":"Department of Telecommunication Networks and Data Transmission, the Bonch-Bruevich Saint-Petersburg State University of Telecommunications, 193232 St. Petersburg, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"103794","DOI":"10.1016\/j.scs.2022.103794","article-title":"Acceptance of IoT-based and sustainability-oriented smart city services: A mixed methods study","volume":"80","author":"Yildirim","year":"2022","journal-title":"Sustain. 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