文献类型：期刊文献

英文题名：Coverage Control for Underwater Sensor Networks Based on Residual Energy Probability

作者：Liang, Jinglin[1,2];Sun, Qian[1,2];Wang, Xiaoyi[2,3];Xu, Jiping[1,2];Zhang, Huiyan[1,2];Wang, Li[1,2];Yu, Jiabin[1,2];Li, Jing[4];Wang, Ruichao[5]

第一作者：Liang, Jinglin

通讯作者：Sun, Q[1];Sun, Q[2]

机构：[1]Beijing Technol & Business Univ, Sch Artificial Intelligence, Beijing 100048, Peoples R China;[2]Beijing Lab Intelligent Environm Protect, Beijing 100048, Peoples R China;[3]Beijing Inst Fash Technol, Beijing 100029, Peoples R China;[4]Beijing Union Univ, Smart City Coll, Beijing 100101, Peoples R China;[5]Univ Coll Dublin, Dublin 4, Ireland

第一机构：Beijing Technol & Business Univ, Sch Artificial Intelligence, Beijing 100048, Peoples R China

通讯机构：[1]corresponding author), Beijing Technol & Business Univ, Sch Artificial Intelligence, Beijing 100048, Peoples R China;[2]corresponding author), Beijing Lab Intelligent Environm Protect, Beijing 100048, Peoples R China.

年份：2022

卷号：73

期号：3

起止页码：5459-5471

外文期刊名：CMC-COMPUTERS MATERIALS & CONTINUA

收录：;EI(收录号：20223112466874);Scopus(收录号：2-s2.0-85135057277);WOS:【SCI-EXPANDED(收录号:WOS:000858712900024)】；

基金：This research was funded by the National Natural Science Foundation of China, No. 61802010; Hundred-Thousand-Ten Thousand Talents Project of Beijing No. 2020A28; National Social Science Fund of China, No.19BGL184; Beijing Excellent Talent Training Support Project for Young Top-Notch Team No. 2018000026833TD01 and Academic Research Projects of Beijing Union University, No. ZK30202103.

语种：英文

外文关键词：Random event; self-organizing map algorithm; redundancy; energy consumption; coverage

摘要：Underwater sensor networks have important application value in the fields of water environment data collection, marine environment monitoring and so on. It has some characteristics such as low available bandwidth, large propagation delays and limited energy, which bring new challenges to the current researches. The research on coverage control of underwater sensor networks is the basis of other related researches. A good sensor node coverage control method can effectively improve the quality of water environment monitoring. Aiming at the problem of high dynamics and uncertainty of monitoring targets, the random events level are divided into serious events and general events. The sensors are set to sense different levels of events and make different responses. Then, an event-driven optimization algorithm for determining sensor target location based on self-organization map is proposed. Aiming at the problem of limited energy of underwater sensor nodes, considering the moving distance, coverage redundancy and residual energy of sensor nodes, an underwater sensor movement control algorithm based on residual energy probability is proposed. The simulation results show that compared with the simple movement algorithm, the proposed algorithm can effectively improve the coverage and life cycle of the sensor networks, and realize real-time monitoring of the water environment.