摘要
针对微电网数据传输过程中无线传感器网络所面临的数据过载和传输路径单一所导致的个别节点能耗过快的问题,对传统压缩感知算法进行了改进,提出将节点能量也作为传输路径选择的判定因素并作为判定参数加入其信息熵值的计算过程中,从而避免算法由于重复选择相同的传输路径造成网络中个别节点由于能量消耗过快而停止工作的情况出现。在微电网仿真模型下对算法的数据压缩率、收敛速度、重构数据精度和网络生存时间进行了验证,仿真结果表明,在微电网无线传感器网络中应用该方法,对网络生存时间和网络收敛性等性能都有明显提升。
Aiming at the high precision and low consumption data transmitting requirement possessed by wireless sensor network of microgrid,a compressed sensing algorithm based on load balancing is proposed in this paper,which has considered the energy balance of nodes as well as the reconstruction performance so that it can prevent a single node from exhausting energy. The proposed algorithm will select the required observation vectors by not only calculating entropy of the original signal,but also considering the residue energy of each node. Therefore,the algorithm can reduce the overall data transmission quantity and meanwhile balance the loads of various nodes in WSN,thus extending the network lifetime. According to the simulation result,in wireless sensor network of microgrid,compared with traditional algorithm,algorithm of this paper has been obviously improved in both network lifetime and network convergence performance.
作者
李珂
范永存
邓冬梅
王蕾
李金夫
周建
LI Ke;FAN Yongcun;DENG Dongmei;WANG Lei;LI Jinfu;ZHOU Jian(Information Technology Institute,Southwest University of Science and Technology,Mianyang 621010,Sichuan,China)
出处
《西南科技大学学报》
CAS
2018年第2期88-95,共8页
Journal of Southwest University of Science and Technology
基金
四川省应用基础重点研发项目(2017GZ0346)
绵阳市科技计划项目(17YFDZ001)
西南科技大学博士基金项目(16zx7118
17zx7110)
