Data centric multi-shift sensor scheduling for wireless sensor networks

Jialin Zhang, Y. Hu
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引用次数: 3

Abstract

A multi-shift sensor scheduling method is proposed to extend the operating lifespan of a wireless sensor network. Sensor nodes in the WSN are partitioned into N subnetworks and the operating schedule is partitioned into N shifts of equal duration. Exploiting spatial correlations among sensor nodes, data collected using each subnetwork can well approximate the data collected using original sensor network. Each sub-network also form a connected component to ensure proper data collection. This task is formulated as a NP-hard constrained subset selection problem. A polynomial time heuristic algorithm leveraging breath-first search and subspace approximation is proposed. Simulations using a real world data set demonstrate superior performance and extended lifespan of this proposed method.
无线传感器网络中以数据为中心的多位移传感器调度
为了延长无线传感器网络的工作寿命,提出了一种多班次传感器调度方法。将WSN中的传感器节点划分为N个子网络,将运行调度划分为N个时长相等的班次。利用传感器节点之间的空间相关性,利用每个子网络收集的数据可以很好地近似原始传感器网络收集的数据。每个子网还形成一个连接的组件,以确保正确的数据收集。该任务被表述为NP-hard约束子集选择问题。提出了一种利用呼吸优先搜索和子空间逼近的多项式时间启发式算法。仿真结果表明,该方法具有较好的性能和较长的使用寿命。
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