[孙益辉; 田原] School of Electrical Engineering, University of South China, Hunan, Hengyang, 421001, China
[易灵芝] School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, 430073, China
[夏云芝] School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
语种：
中文
关键词：
物联网;可信信息覆盖;博弈论;强化学习;效用函数
关键词(英文)：
Game theory;Internet of things;Learning algorithms;Sensor nodes;Confident information coverage;Coverage models;Coverage optimizations;Coverage problem;Information coverage;Internet of thing;Optimization algorithms;Reinforcement learnings;Sensor coverage;Utility functions;Reinforcement learning
To overcome the problem of coverage optimization in internet of things (IoT)，a confident information coverage optimization algorithm was proposed based on the confident information coverage (CIC) model．In the proposed algorithm，the CIC model was adopted to define sensor coverage，and the coverage problem was modeled as a state-based potential game based on reinforcement learning．Sensor nodes utilized the utility function to balance the coverage reward and got the near-optimal solution by the binary log-linear reinforcement learning．Simulat...
