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Lifetime and Energy Hole Evolution Analysis in Data-Gathering Wireless Sensor Networks

机译:数据收集无线传感器网络中的寿命和能量孔演化分析

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Network lifetime is a crucial performance metric to evaluate data-gathering wireless sensor networks (WSNs) where battery-powered sensor nodes periodically sense the environment and forward collected samples to a sink node. In this paper, we propose an analytic model to estimate the entire network lifetime from network initialization until it is completely disabled, and determine the boundary of energy hole in a data-gathering WSN. Specifically, we theoretically estimate the traffic load, energy consumption, and lifetime of sensor nodes during the entire network lifetime. Furthermore, we investigate the temporal and spatial evolution of energy hole and apply our analytical results to WSN routing in order to balance the energy consumption and improve the network lifetime. Extensive simulation results are provided to demonstrate the validity of the proposed analytic model in estimating the network lifetime and energy hole evolution process.
机译:网络寿命是评估数据收集无线传感器网络(WSN)的关键性能指标,在该网络中,电池供电的传感器节点会定期检测环境并将收集的样本转发到接收器节点。在本文中,我们提出了一种解析模型,用于估计从网络初始化到完全禁用的整个网络寿命,并确定数据收集WSN中能量孔的边界。具体来说,我们从理论上估算整个网络生命周期内的流量负载,能耗和传感器节点的生命周期。此外,我们研究了能量空穴的时空演化,并将分析结果应用于WSN路由,以平衡能耗并提高网络寿命。提供了大量的仿真结果,以证明所提出的分析模型在估计网络寿命和能量空穴演化过程中的有效性。

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