摘要
针对基于无线传感器网络的智能电网数据采集系统,提出了一种新的分布式功率联合速率分配方案,在满足节点功率和数据收集速率的限制条件下,能够最大程度地提高传感节点到数据收集节点(Sink节点)系统容量和能量耗费的比值,从而达到以更低的能耗提供更高速率的目的.构建了传感节点间功率分配的完全信息静态非合作博弈模型,证明了相应模型纳什均衡点的存在性,并提出了一种迭代式的资源分配算法,通过不断迭代传感节点在子载波上的功率来优化系统能效.仿真结果表明了该系统模型纳什均衡点的存在性并且说明了该算法收敛于纳什均衡点.
For the data gathering system based wireless sensor networks in smart grid, a new method of distributed power allocation combined with the transmission rate is put forward, which is help to improve the ratio of system capacity and energy consume between sensor nodes and sink nodes under the restriction of nodes power and data acquisition rate , thereby achieve the highest transmission rate with the lowest energy consumption. A non-cooperative game with complete information is built for the energy-efficient optimizing problem and the existence of Nash equilibrium in the proposed model has been proved. An iterative algorithm to optimize the energy efficiency by iterating the sensor nodes power aboard the sub carrier has been also proposed. The simulation results testify the existence of the Nash equilibrium and further illustrate the algorithm converges to the equilibrium point.
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2017年第3期384-389,400,共7页
Engineering Journal of Wuhan University
基金
国家重点研发计划(编号:2016YFB0901102)
国家电网公司科技项目
关键词
无线传感器网络
信息采集
能效
分布式算法
非合作博弈
wireless sensor networks
data gathering
energy-efficiency
distributed algorithm
non-cooperative game
