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A New k-Coverage Model To Determine Redundant Sensors in Wireless Sensor Networks

机译:确定无线传感器网络中冗余传感器的新k覆盖模型

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Maintaining k-coverage in wireless sensor networks (WSNs) requires the simultaneous activation of a large number of sensors. Indeed, each location in the sensing field should be covered by at least k nodes, (k > 1). Sensors, in most k-coverage scenarios, may be redundant because of overlaps in their sensing disks. We propose a new k-coverage model able to accurately determine redundant sensors with a linear running time complexity. We prove that a sensor is redundant, if its neighbors belong to particular sub-regions within its sensing disk. Simulation results confirm that the proposed algorithm outperforms well-known k-coverage protocols, in terms of energy conservation, network lifetime and coverage performance.
机译:要在无线传感器网络(WSN)中保持k覆盖率,需要同时激活大量传感器。实际上,感测场中的每个位置都应至少覆盖k个节点(k> 1)。在大多数k覆盖情况下,传感器可能是多余的,因为它们的感测盘重叠。我们提出了一种新的k覆盖模型,该模型能够以线性运行时间复杂度来准确确定冗余传感器。我们证明,如果传感器的邻居属于其传感盘内的特定子区域,则该传感器是冗余的。仿真结果表明,该算法在节能,网络寿命和覆盖性能方面均优于著名的k-coverage协议。

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