TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A many-objective optimization WSN energy balance model |
| 영문제목(English Title) |
A many-objective optimization WSN energy balance model |
| 저자(Author) |
Di Wu
Shaojin Geng
Xingjuan Cai
Guoyou Zhang
Fei Xue
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| 원문수록처(Citation) |
VOL 14 NO. 02 PP. 0514 ~ 0537 (2020. 02) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Wireless sensor network (WSN) is a distributed network composed of many sensory nodes. It is precisely due to the clustering unevenness and cluster head election randomness that the energy consumption of WSN is excessive. Therefore, a many-objective optimization WSN energy balance model is proposed for the first time in the clustering stage of LEACH protocol. The four objective is considered that the cluster distance, the sink node distance, the overall energy consumption of the network and the network energy consumption balance to select the cluster head, which to better balance the energy consumption of the WSN network and extend the network lifetime. A many-objective optimization algorithm to optimize the model (LEACH-ABF) is designed, which combines adaptive balanced function strategy with penalty-based boundary selection intersection strategy to optimize the clustering method of LEACH. The experimental results show that LEACH-ABF can balance network energy consumption effectively and extend the network lifetime when compared with other algorithms.
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| 키워드(Keyword) |
WSN
LEACH protocol
many-objective optimization
energy consumption
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| 파일첨부 |
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