An adaptive node partition clustering protocol using particle swarm optimization

Autor:	Lv Guangjie, Dexin Ma, Gai Lingyun, Wang Hai, Shi Hongtao, Jian Ma, Pengmin Xu
Rok vydání:	2013
Předmět:	Engineering Key distribution in wireless sensor networks business.industry Robustness (computer science) Distributed computing Scalability Particle swarm optimization Multi-swarm optimization business Cluster analysis Partition (database) Wireless sensor network Computer network
Zdroj:	ICCA
DOI:	10.1109/icca.2013.6565100
Popis:	Wireless Sensor Networks (WSNs) are networks of autonomous nodes used for monitoring an environment, and clustering is one of the most popular and effective approach for WSNs that require scalability and robustness. In this paper, we propose and analyze an Adaptive Node Partition Clustering protocol using Particle Swarm Optimization (ANPC-PSO), a protocol that partitions the network field adaptively and selects cluster heads (CHs) consider the networks states information. The results of performance evaluation show that ANPC-PSO can improve system lifetime and data delivery by distributing energy dissipation evenly in the networks.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cf9c975e41471179a671a32769f142c4 https://doi.org/10.1109/icca.2013.6565100 Zobrazit plný text záznamu