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Randomized Approach for Target Coverage Scheduling in Directional Sensor Network

机译:方向传感器网络中目标覆盖调度的随机方法

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Recently directional sensors have been widely deployed as they are more practicable under constraints of manufacture, size and cost. One common functionality of networks formed by such directional sensors is to monitor a set of discrete targets continuously. Large scale deployment makes sensor recharge impossible. By abundant deployment, it is reasonable and necessary to select subsets of sensors to operate alternatively so as to prolong the network lifetime. Such problem has been proved to be NP-Complete. This paper approximates network lifetime problem by randomized algorithm. Through constructing elementary sessions, which denotes active subset of sensors covering all targets, and linear programming, the approximating solution is derived within extremely less duration comparing to previous works. Simulation results demonstrate the algorithm’s performance and sound explanation is also presented.
机译:最近,定向传感器已被广泛部署,因为它们在制造,尺寸和成本的约束下更具切实可行。通过这种定向传感器形成的网络的一个常见功能是连续监视一组分立的目标。大规模部署使传感器充电不可能。通过大量部署,合理且必要的选择传感器的子集来操作以便延长网络寿命。此类问题已被证明是NP完整的。本文通过随机算法近似于网络寿命问题。通过构建基本的会话,它表示覆盖所有目标的传感器的活动子集和线性编程,近似解是与先前作品相比的极低持续时间内。仿真结果展示了算法的性能和声音解释。

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