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Balanced-energy sleep scheduling scheme for high-density cluster-based sensor networks

机译:高密度集群传感器网络的能量均衡睡眠调度方案

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In order to conserve battery power in very dense sensor networks, some sensor nodes may be put into the sleep state while other sensor nodes remain active for the sensing and communication tasks. However, determining which of the sensor nodes should be put into the sleep state is non-trivial. As the goal of allowing nodes to sleep is to extend network lifetime, we propose and analyze a Balanced-energy Scheduling (BS) scheme in the context of cluster-based sensor networks. The BS scheme aims to evenly distribute the energy load of the sensing and communication tasks among all the nodes in the cluster, thereby extending the time until the cluster can no longer provide adequate sensing coverage. Two related sleep scheduling schemes, the Distance-based Scheduling (DS) scheme and the Randomized Scheduling (RS) scheme are also studied in terms of the coefficient of variation of their energy consumption. Analytical and simulation results are presented to evaluate the proposed BS scheme. It is shown that the BS scheme extends the cluster's overall network lifetime significantly while maintaining a similar sensing coverage compared with the DS and the RS schemes for sensor clusters.
机译:为了在非常密集的传感器网络中节省电池电量,可以将某些传感器节点置于睡眠状态,而将其他传感器节点保持活动状态以进行传感和通信任务。但是,确定应将哪个传感器节点置于睡眠状态并非易事。由于允许节点进入休眠状态的目的是延长网络寿命,因此我们提出并分析了基于群集的传感器网络中的平衡能量调度(BS)方案。 BS方案旨在在群集中的所有节点之间平均分配传感和通信任务的能量负荷,从而延长时间,直到群集不再能够提供足够的传感覆盖为止。还研究了两种相关的睡眠调度方案,即基于距离的调度方案(DS)和基于随机调度方案(RS)的能耗变化系数。给出了分析和仿真结果以评估所提出的BS方案。结果表明,与针对传感器集群的DS和RS方案相比,BS方案显着延长了集群的整体网络寿命,同时保持了相似的感测覆盖范围。

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