基于压缩感知的WSNs长生命周期数据收集方法

Data Gathering for Long Network Lifetime in WSNs Based on Compressed Sensing

该文针对基于事件驱动的无线传感器网络(WSNs)数据收集查询的长期应用需求,基于压缩感知理论将混合压缩感知的数据收集技术与数据收集树的构建过程相结合,设计出一种长生命周期数据收集方法。该方法在数据收集查询到达时,构造一棵数据收集树。建树过程中,利用混合压缩感知思想,在分析转发节点和融合节点能耗的基础上,以收集查询后节点最小剩余能量最大化为目标,构造最大数据收集树集合。仿真实验表明,该方法能够充分利用节点能量资源,显著提高网络能量效率,达到延长网络生命周期的目标。

For the long-term application requirements of data gathering queries in event-driven Wireless Sensor Networks （WSNs）, based on the compressed sensing theory, a data gathering method with long network lifetime is designed by combining the constructing process of data gathering tree with the hybrid compressed sensing data gathering techniques. When a data gathering query arrives, a data gathering tree for the query is constructed. Using the ideas of hybrid compressed sensing, energy consumption of forwarding and aggregating nodes is analyzed, and data gathering trees are constructed aiming at maximizing the minimum residual energy among the nodes after the realization of current data gathering query. The simulation results show that the proposed method can make full use of the energy resources of nodes, significantly improve the network energy efficiency and achieve the goal of extending network lifetime.