Dear Editor,This letter is concerned with the energy-aware multiple sensor coscheduling for bearing-only target tracking in the underwater wireless sensor networks(UWSNs).Considering the traditional methods facing wit...Dear Editor,This letter is concerned with the energy-aware multiple sensor coscheduling for bearing-only target tracking in the underwater wireless sensor networks(UWSNs).Considering the traditional methods facing with the problems of strong environment dependence and lack flexibility,a novel sensor scheduling algorithm based on the deep reinforcement learning is proposed.Firstly,the sensors’co-scheduling strategy in UWSNs is formulated as Markov decision process(MDP).展开更多
基金This work was supported by the National Natural Science Foundation of China(62173299,U1809202)the Joint Fund of Ministry of Education for Pre-Research of Equipment(8091B022147)the Fundamental Research Funds for the Central Universities(072022001).
文摘Dear Editor,This letter is concerned with the energy-aware multiple sensor coscheduling for bearing-only target tracking in the underwater wireless sensor networks(UWSNs).Considering the traditional methods facing with the problems of strong environment dependence and lack flexibility,a novel sensor scheduling algorithm based on the deep reinforcement learning is proposed.Firstly,the sensors’co-scheduling strategy in UWSNs is formulated as Markov decision process(MDP).
