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Target coverage maximisation for directional sensor networks

机译:定向传感器网络的目标覆盖范围最大化

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Wireless sensor networks (WSNs) have applications in many areas, such as biomedical observation, environmental monitoring, and battlefield surveillance. In order to reduce costs and improve reliability, target coverage has been an important problem for WSNs in recent years. In this paper, we investigate target coverage for a special kind of WSNs, called directional sensor networks, in which the sensors have limited monitoring distance and coverage angle. Given a set of targets and a set of sensors, we investigate how to assign proper directions for the sensors such that the number of covered targets is maximised. We show that it is NP-hard to find an optimal solution and we investigate both centralised and distributed approximation algorithms with provable performance guarantee. In addition, we analyse the problem itself from the combinatorics' point of view. Finally we also conduct a simulation experiment to evaluate the practical performance of proposed algorithms.
机译:无线传感器网络(WSNS)在许多领域具有应用,例如生物医学观察,环境监测和战场监测。 为了降低成本并提高可靠性,近年来,目标覆盖是WSN的重要问题。 在本文中,我们研究了一种特殊类型的WSN,称为方向传感器网络的目标覆盖,其中传感器的监测距离和覆盖角度有限。 给定一组目标和一组传感器,我们调查如何为传感器分配适当的方向,使得覆盖目标的数量最大化。 我们表明它是NP - 难以找到最佳解决方案,我们调查集中和分布式近似算法,具有可提供的性能保证。 此外,我们从Combinatorics的角度分析了问题本身。 最后,我们还进行了一种模拟实验,以评估所提出的算法的实际性能。

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