Dynamic optimization method of target coverage based on reinforcement learning for wireless visual sensor network
Author:
Affiliation:
1. Nanchang Institute of Technology,School of Information Engineering,Nanchang,China
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Natural Science Foundation of Jiangxi Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10241359/10241362/10241804.pdf?arnumber=10241804
Reference9 articles.
1. A Distributed Game-Theoretic Approach for Target Coverage in Visual Sensor Networks
2. Priority‐based target coverage in directional sensor networks
3. Distributed Channel Selection for Interference Mitigation in Dynamic Environment: A Game-Theoretic Stochastic Learning Solution
4. On redundant coverage maximization in wireless visual sensor networks: Evolutionary algorithms for multi-objective optimization
5. Coverage by directional sensors in randomly deployed wireless sensor networks
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