摘要
无线自组网通过部署并利用多个中继节点的多跳传输实现中继覆盖增强,可有效解决地下电力管廊弱覆盖、盲覆盖等问题。然而,由于中继节点传输性能以及信道状态的动态变化,需要在不完全信息下动态选择最优中继节点来降低通信能耗。文章基于传统ε-greedy算法和递减ε-greedy算法设计了低能耗地下电力管廊无线自组网中继选择算法,最小化地下电力管廊无线传感网数据传输总能耗。仿真结果表明,相较于传统ε-greedy算法,递减ε-greedy算法具有更优的能耗性能。
The wireless ad-hoc network achieves relay coverage enhancement by deploying and using multi-hop transmission of multiple relay nodes,which can effectively solve the problems of weak coverage and blind coverage of the underground power pipeline.However,due to the dynamic changes of the transmission performance of the relay nodes and the channel state,it is necessary to dynamically select the optimal relay node under incomplete information to reduce the energy consumption.In this paper,we propose a low-energy-consumption underground power pipeline wireless ad-hoc network relay selection algorithm based on traditionalε-greedy algorithm and decreasingε-greedy algorithm respectively,the optimization objective of which is to minimize the energy consumption of wireless sensor network data transmission in the underground power pipeline.The simulation results show that theε-decreasing algorithm has the better performance in term of energy consumption with the traditionalε-greedy algorithm.
作者
李毅超
纪春华
尚立
魏勇
李建岐
LI Yichao;JI Chunhua;SHANG Li;WEI Yong;LI Jianqi(Information&Telecommunication Branch,State Grid Hebei Electric Power Co.,Ltd.,Shijiazhuang 050021,China;Global Energy Interconnection Research Institute Co.,Ltd.,Beijing 102209,China)
出处
《电力信息与通信技术》
2022年第6期82-88,共7页
Electric Power Information and Communication Technology
基金
国家电网有限公司总部科技项目“基于多技术融合的实时动态感知的配电网支撑关键技术研究”(5204XA20004K)。
