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Randomized Approach for Target Coverage Scheduling in Directional Sensor Network

机译:定向传感器网络中目标覆盖率调度的随机方法

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摘要

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:由于在制造,尺寸和成本的限制下它们更加实用,因此定向传感器最近已被广泛部署。由这种定向传感器形成的网络的一种常见功能是连续监视一组离散目标。大规模部署使传感器无法充电。通过大量部署,选择传感器子集进行替代操作以延长网络寿命是合理且必要的。已经证明该问题是NP完全的。本文通过随机算法近似网络寿命问题。通过构造基本会话(表示覆盖所有目标的传感器的活动子集)和线性编程,与以前的工作相比,可以在极短的时间内得出近似解。仿真结果表明了该算法的性能,并给出了合理的解释。

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