Clustering hierarchy protocol in wireless sensor networks using an improved PSO algorithm

Zhou, Yuan, Wang, Ning, and Xiang, Wei (2017) Clustering hierarchy protocol in wireless sensor networks using an improved PSO algorithm. IEEE Access, 5. pp. 2241-2253.

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Maximizing network lifetime is a major objective for designing and deploying a wireless sensor network. Clustering sensor nodes is an effective topology control approach helping achieve this goal. In this paper, we present a new method to prolong the network lifetime based on the improved particle swarm optimization algorithm, which is an optimization method designed to select target nodes. The protocol takes into account both energy efficiency and transmission distance, and relay nodes are used to alleviate the excessive power consumption of the cluster heads. The proposed protocol results in better distributed sensors and a well-balanced clustering system enhancing the network's lifetime. We compare the proposed protocol with comparative protocols by varying a number of parameters, e.g., the number of nodes, the network area size, and the position of the base station. Simulation results show that the proposed protocol performs well against other comparative protocols in various scenarios.

Item ID: 50676
Item Type: Article (Research - C1)
ISSN: 2169-3536
Keywords: WSN, clustering, energy effciency, network lifetime, PSO
Funders: National Natural Science Foundation of China (NNSFC), National Natural Science Foundation of Tianjin (NNSFT), Queensland Government of Australia (QG)
Projects and Grants: NNSFC Grant 61571326, NNSFC Grant 61201179, NNSFC Grant 61520106002, NNSFT Grant 16JCQNJC009000, QG Smart Futures Fellowship
Date Deposited: 20 Sep 2017 11:00
FoR Codes: 40 ENGINEERING > 4006 Communications engineering > 400604 Network engineering @ 50%
40 ENGINEERING > 4006 Communications engineering > 400608 Wireless communication systems and technologies (incl. microwave and millimetrewave) @ 50%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services @ 100%
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