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Energy-Efficient Hybrid Cluster Scheduling Strategy for Heterogeneous Wireless Sensor Networks

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成果类型:
会议论文
作者:
Liu, Liangchen;Wang, Minghua
通讯作者:
Wang, MH
作者机构:
[Wang, Minghua; Liu, Liangchen; Wang, MH] Univ South China, Sch Elect Engn, Hengyang, Peoples R China.
通讯机构:
[Wang, MH ] U
Univ South China, Sch Elect Engn, Hengyang, Peoples R China.
语种:
英文
关键词:
Heterogeneous Wireless Sensor Networks;Energy-Efficient;Genetic Algorithm;Hybrid Clustering
期刊:
2024 IEEE INTERNATIONAL CONFERENCE ON SUSTAINABLE COMPUTING AND COMMUNICATIONS, SUSTAINCOM
年:
2024
页码:
8-15
会议名称:
2024 IEEE International Conference on Sustainable Computing and Communications (SustainCom)
会议论文集名称:
2024 IEEE International Conference on Sustainable Computing and Communications (SustainCom)
会议时间:
30 October 2024
会议地点:
Kaifeng, China
会议主办单位:
[Liu, Liangchen;Wang, Minghua] Univ South China, Sch Elect Engn, Hengyang, Peoples R China.
出版地:
10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
出版者:
IEEE
ISBN:
979-8-3315-2106-6
基金类别:
10.13039/501100004735-Natural Science Foundation of Hunan Province 10.13039/501100001809-National Natural Science Foundation of China
机构署名:
本校为第一且通讯机构
院系归属:
电气工程学院
摘要:
With the development of microelectronics and communication technology, wireless sensor networks(WSNs) technology has been widely concerned. In order to deal with the complex sensing environment and improve the sustainable services, it is urgent to study the high energy efficiency strategy of heterogeneous wireless sensor networks(HWSNs). In this paper, a hybrid clustering scheduling strategy based on genetic algorithm(HCSS-GA) is proposed, which consolidated a variety of factors such as residual energy, communication distance, node density and heterogeneous factors to optimize cluster-head ele...

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