摘要
为降低网络传输量、延长网络生命周期,提出了一种基于移动代理的无线传感器网络(WSN)压缩数据采集方法,将压缩感知更有效地应用到WSN的数据采集过程中。所提方法根据测量矩阵中的信息对网络中的节点进行分组投影,增加了单次投影的节点数量,自适应地将这些节点划分区域,并派遣移动代理进行分区采集,通过一种基于树的贪婪策略得到移动代理的最优访问路径。仿真表明,所提方法对比SPT(Hybrid-CS)、MSTP和MA-Greedy算法在网络传输量和能耗均衡度上的性能均有显著提升。由此,提出的算法可以有效降低网络通信量,均衡能耗负载,同时缓解测量次数对网络整体能耗的影响。
In order to reduce the network transmissions,improve the network lifetime,the paper proposed a WSN compressive data collection method based mobile agent,which applied compressed sensing more effectively to the WSN data collection process.The method performed grouping projection on nodes in the network according to the information in the measurement matrix,increased the number of nodes in one projection,divided the nodes into regions adaptively,and dispatched mobile agents to perform the partition acquisition.The best itinerary for the mobile agent was planned by a tree-based greedy strategy.Simulation experiments show that the proposed method compares the performance of SPT(Hybrid-CS),MSTP,and MA-Greedy algorithms in network transmissions and energy balance.Therefore,the proposed algorithm can effectively reduce network transmissions,balance the energy consumption,and mitigate the impact of measurement times on the overall energy consumption of the network.
作者
潘琢金
蒋欣格
王传云
罗振
PAN Zhuo-jin;JIANG Xin-ge;WANG Chuan-yun;LUO Zhen(School of Computer Science,Shenyang Aerospace University,Shenyang Liaoning 110136,China)
出处
《计算机仿真》
北大核心
2021年第4期315-320,共6页
Computer Simulation
基金
国家自然科学基金(61703287)
辽宁省自然科学基金(20180550664)
沈阳航空航天大学校博士启动基金(15YB06)。
