A balanced energy consumption clustering algorithm for heterogeneous energy wireless sensor networks

Autor:	Ma, Xiaofu, Fang, Yu, Bai, Xingzhen
Rok vydání:	2018
Předmět:	Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	In this paper, a balanced energy consumption clustering algorithm (BECC) is proposed. This new scheme is a cluster-based algorithm designed for heterogeneous energy wireless sensor networks. A polarized energy factor is introduced to adjust the probability with which each node may become a cluster head in the election of the new clustering scheme. Under the condition that the expected number of cluster heads in the network preserves the theoretical optimal number, BECC makes sure that nodes with higher residual energy will become cluster heads with higher probabilities while nodes with lower residual energy will not become cluster heads. Simulation results show that this new scheme provides longer lifetime than the classical clustering algorithms including LEACH and other improved algorithms in heterogeneous networks, and BECC also reaches larger amount of messages received at the sink. Comment: 2010 IEEE International Conference on Wireless Communications, Networking and Information Security
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1901.05284 Zobrazit plný text záznamu View this record from Arxiv