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A Novel Energy Efficient Topology Control Scheme Based on a Coverage-Preserving and Sleep Scheduling Model for Sensor Networks

机译:基于覆盖和睡眠调度模型的传感器网络新型节能拓扑控制方案

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摘要

In high-density sensor networks, scheduling some sensor nodes to be in the sleep mode while other sensor nodes remain active for monitoring or forwarding packets is an effective control scheme to conserve energy. In this paper, a Coverage-Preserving Control Scheduling Scheme (CPCSS) based on a cloud model and redundancy degree in sensor networks is proposed. Firstly, the normal cloud model is adopted for calculating the similarity degree between the sensor nodes in terms of their historical data, and then all nodes in each grid of the target area can be classified into several categories. Secondly, the redundancy degree of a node is calculated according to its sensing area being covered by the neighboring sensors. Finally, a centralized approximation algorithm based on the partition of the target area is designed to obtain the approximate minimum set of nodes, which can retain the sufficient coverage of the target region and ensure the connectivity of the network at the same time. The simulation results show that the proposed CPCSS can balance the energy consumption and optimize the coverage performance of the sensor network.
机译:在高密度传感器网络中,安排一些传感器节点处于睡眠模式,而其他传感器节点保持活动状态以监视或转发数据包,是一种节能的有效控制方案。本文提出了一种基于云模型和传感器网络冗余度的覆盖保护控制调度方案(CPCSS)。首先,采用常规云模型根据传感器的历史数据计算传感器节点之间的相似度,然后将目标区域每个网格中的所有节点都分为几类。其次,根据节点的感应区域被相邻传感器覆盖,计算出节​​点的冗余度。最后,设计了一种基于目标区域划分的集中式近似算法,以获得近似的最小节点集,该节点集可以保留目标区域的足够覆盖范围,并同时确保网络的连通性。仿真结果表明,所提出的CPCSS可以平衡能耗,优化传感器网络的覆盖性能。

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