现代电子技术2018，Vol.41Issue(11)：17-21,26,6.DOI:10.16652/j.issn.1004-373x.2018.11.005
基于最优连通的WSNs的传输功率控制研究
Research on optimal connectivity based transmission power control for wireless sensor networks
吴小博 1梅晓仁1
作者信息
- 1. 岭南师范学院 商学院 实验中心,广东 湛江 524048
- 折叠
摘要
Abstract
Under the condition of maintaining the optimal connectivity among nodes,the transmission power is adjusted to reduce the power consumption. A learning automata-based power control (LAPC) algorithm is proposed while guaranteeing the network optimal connectivity. In LAPC algorithm,each node is equipped with a learning automation,and the range of transmis-sion power of the node is defined as the continuous action set of the automata. At each stage,low transmission power for the learning automata is possibly selected to reduce the power consumption and prolong the network lifetime while guaranteeing the network optimal connectivity. The simulation results show that,in comparison with similar algorithms,the performances of LAPC algorithm is more effectively improved in the aspects of transmission power,normalized signal-to-noise ratio,control mes-sage overhead and average residual energy.关键词
无线传感网络/连通/功率控制/学习自动机/传输功率/LAPCKey words
wireless sensor network/connectivity/power control/learning automata/transmission power/LAPC分类
信息技术与安全科学引用本文复制引用
吴小博,梅晓仁..基于最优连通的WSNs的传输功率控制研究[J].现代电子技术,2018,41(11):17-21,26,6.
