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机构地区:[1]Department of Computer Science and Engineering,GRT Institute of Engineering and Technology,Tiruttani,631209,India [2]Department of Information Technology,Kongu Engineering College,Erode,638060,India
出 处:《Computer Systems Science & Engineering》2022年第6期1173-1189,共17页计算机系统科学与工程(英文)
摘 要:Wireless sensor networks (WSN) have become a hot research areaowing to the unique characteristics and applicability in diverse application areas.Clustering and routing techniques can be considered as an NP hard optimizationproblem, which can be addressed by metaheuristic optimization algorithms. Withthis motivation, this study presents a chaotic sandpiper optimization algorithmbased clustering with groundwater flow optimization based routing technique(CSPOC-GFLR). The goal of the CSOC-GFLR technique is to cluster the sensornodes in WSN and elect an optimal set of routes with an intention of achievingenergy efficiency and maximizing network lifetime. The CSPOC algorithm isderived by incorporating the concepts of chaos theory to boost the global optimization capability of the SPOC algorithm. The CSPOC technique elects an optimum set of cluster heads (CH) whereas the other sensors are allocated to thenearer CH. Extensive experimentation portrayed the promising performance ofthe CSPOC-GFLR technique by achieving reduced energy utilization, improvedlifetime, and prolonged stability over the existing techniques.
关 键 词:CLUSTERING ROUTING wireless sensor networks energy efficiency network lifetime metaheuristics
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