引用本文: | 滕志军,吕金玲,张力,郭立文.WSN中基于博弈论的节点功率控制算法[J].控制理论与应用,2018,35(5):717~721.[点击复制] |
TENG Zhi-jun,LV Jin-ling,Zhang Li,Guo Li-wen.Based on game theory algorithm in nodes power control of WSN[J].Control Theory and Technology,2018,35(5):717~721.[点击复制] |
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WSN中基于博弈论的节点功率控制算法 |
Based on game theory algorithm in nodes power control of WSN |
摘要点击 2721 全文点击 1233 投稿时间:2017-12-11 修订日期:2018-04-28 |
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DOI编号 10.7641/CTA.2018.70921 |
2018,35(5):717-721 |
中文关键词 无线传感器网络 博弈论 功率控制 纳什均衡 能耗 |
英文关键词 wireless sensor network game theory power control Nash equilibrium energy consumption |
基金项目 国家自然科学基金项目(51277023), 国家自然科学基金青年科学基金项目(61501107), 吉林省教育厅“十三五”科学研究规划项目(JJKH2018 0439KJ)资助. |
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中文摘要 |
针对如何降低无线传感器网络中节点传输的能量消耗, 延长网络生存周期, 本文将博弈论引入WSN功率控
制中, 综合考虑节点的剩余能量、发射功率等因素构建效用函数, 将剩余能量较大的节点作为下一跳节点, 连接其
他节点并承载较多的传输任务. 节点在通信过程中以功率博弈算法作为策略方案, 不断调整各自的策略, 提高信息
传输的准确率, 并证明该算法纳什均衡的存在. 仿真结果表明, 与传统分布式功率控制算法相比, 该算法通过控制
节点传输功率实现了降低能耗的目的, 能更快迭代出最优发射功率, 并得到较大的信干比. |
英文摘要 |
In this paper, game theory is applied to the WSN power control to reduce the energy consumption of the point
transmission and prolong the lifetime of the network. The utility function is constructed by considering the residual energy
and the transmitted power of the node. The remaining energy larger node is as the next hop node, which connects other
nodes and takes more transmission tasks. In the communication process, the nodes take power control game algorithm as
strategy and constantly adjust their strategies to improve the accuracy of information transmission. Nash equilibrium is
proved to exist in the algorithm. Simulation results show that this algorithm can realize the purpose of reducing the energy
consumption of wireless sensor network through the control of node transmission power, calculating the optimal transmit
power faster, and getting the higher signal interference ratio compared with traditional distributed power control algorithm. |
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