An Energy-Aware IoT Routing Approach Based on a Swarm Optimization Algorithm and a Clustering Technique

dc.authoridJafari Navimipour, Nima/0000-0002-5514-5536;
dc.authorwosidJafari Navimipour, Nima/AAF-5662-2021
dc.authorwosidSadrishojaei, Mahyar/GZG-8660-2022
dc.authorwosidHosseinzadeh, Mehdi/GWV-3822-2022
dc.contributor.authorSadrishojaei, Mahyar
dc.contributor.authorNavimipour, Nima Jafari
dc.contributor.authorReshadi, Midia
dc.contributor.authorHosseinzadeh, Mehdi
dc.date.accessioned2023-10-19T15:12:41Z
dc.date.available2023-10-19T15:12:41Z
dc.date.issued2022
dc.department-temp[Sadrishojaei, Mahyar] Univ Appl Sci & Technol UAST, Fac Ind, Tehran, Iran; [Navimipour, Nima Jafari] Kadir Has Univ, Fac Engn & Nat Sci, Dept Comp Engn, Istanbul, Turkey; [Reshadi, Midia] Islamic Azad Univ, Dept Comp Engn, Sci & Res Branch, Tehran, Iran; [Hosseinzadeh, Mehdi] Iran Univ Med Sci, Mental Hlth Res Ctr, Psychosocial Hlth Res Inst, Tehran, Iran; [Hosseinzadeh, Mehdi] Univ Human Dev, Comp Sci, Sulaymaniyah, Iraqen_US
dc.description.abstractThe Internet of Things (IoT) comprises many nodes dispersed around a particular target region, and it has lately been applied in a variety of sectors such as smart cities, farming, climatology, smart metering, waste treatment, and others. Even though the IoT has tremendous potential, some difficulties must be addressed. When building the clustering and routing protocol for huge-scale IoT networks, uniform energy usage and optimization are two significant concerns. Clustering and routing are well-known NP-hard optimization challenges applied to the IoT. The ease with which chicken can be implemented has garnered much interest compared to other population-based metaheuristic algorithms in solving optimization problems in the IoT. Aiming to reduce and improve node energy consumption in the IoT network by choosing the most suitable cluster head, the current effort seeks to extend the life of a network by selecting the most appropriate cluster head. A new cost function for homogenous dispersion of cluster heads was proposed in this research, and a good balance among exploration and exploitation search skills to create a node clustering protocol based on chicken search. This procedure is a big step forward from previous state-of-the-art protocols. The number of packets received, the total power consumption, the number of active nodes, and the latency of the suggested integrated clustered routing protocol are all used to evaluate the protocol's overall performance. The proposed strategy has been demonstrated to improve power consumption by at least 16 percent.en_US
dc.identifier.citation11
dc.identifier.doi10.1007/s11277-022-09927-0en_US
dc.identifier.endpage3465en_US
dc.identifier.issn0929-6212
dc.identifier.issn1572-834X
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85142522006en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage3449en_US
dc.identifier.urihttps://doi.org/10.1007/s11277-022-09927-0
dc.identifier.urihttps://hdl.handle.net/20.500.12469/5508
dc.identifier.volume127en_US
dc.identifier.wosWOS:000832447800002en_US
dc.identifier.wosqualityN/A
dc.khas20231019-WoSen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofWireless Personal Communicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectChickenEn_Us
dc.subjectChicken swarm optimizationen_US
dc.subjectInternetEn_Us
dc.subjectCluster headen_US
dc.subjectIoTen_US
dc.subjectChicken
dc.subjectPower consumptionen_US
dc.subjectInternet
dc.subjectSwarm intelligenceen_US
dc.titleAn Energy-Aware IoT Routing Approach Based on a Swarm Optimization Algorithm and a Clustering Techniqueen_US
dc.typeArticleen_US
dspace.entity.typePublication

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