文章基本信息

标题：TSAAC: THRESHOLD SENSITIVE ASSISTANT AIDED CLUSTERING PROTOCOL FOR HETEROGENEOUS WSNs USING NICHING PARTICLE SWARM OPTIMIZATION
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作者：A. KARTHIKEYAN ; FALAK JINDAL ; NEERAJ KAUR BUMRAH 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：65
期号：3
出版社：Journal of Theoretical and Applied
摘要：The energy efficiency and improvement in network�s lifetime are some of the critical issues in wireless sensor networks (WSNs). Remote environmental monitoring and target tracking are the important applications of a wireless sensor network. In this paper, TSAAC (Threshold Sensitive Assistant Aided Clustering) a heterogeneous protocol using Niching Particle Swarm Optimization (NPSO), for wireless sensor networks is proposed. It employs three levels of heterogeneity with cluster head being selected optimally based on the fitness function of NPSO, which is an important technique for multimodal optimization. To further balance the energy dissipation and enhance the system robustness, an assistant cluster head can be selected based on the cluster state information. Being threshold sensitive, this protocol significantly improves the stability period and reduces energy consumption considerably by 14% compared to TSEP (Threshold Sensitive Stable Election Protocol). The performance of the proposed protocol is compared with the existing protocols like LEACH, AAAC-NPSO, SEP and TSEP. The simulation results show that TSAAC-NPSO can achieve better network lifetime.
关键词：WSNs (Wireless Sensor Networks); NPSO (Niching Particle Swarm Optimization); Heterogeneity; Assistant-Aided Clustering; Thresholding.