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Trade-off between coverage and data reporting latency for energy-conserving data gathering in wireless sensor networks

机译:在覆盖范围和数据报告延迟之间进行权衡,以收集无线传感器网络中的节能数据

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We propose a novel energy-conserving data gathering strategy for wireless sensor networks. The proposed strategy is based on a trade-off between coverage and data reporting latency with an ultimate goal of maximizing the network's lifetime. The basic idea is to select in each round only a minimum of k sensors as data reporters which are sufficient for a desired sensing coverage given by the users or applications. Such a selection of the minimum data reporters also reduces the amount of traffic flow to the data gathering point in each round, and thus avoids network congestion as well as channel interference/contention. The proposed strategy includes three schemes for the minimum k-sensor selection. Using these schemes, we evaluate such fundamental issues as event detection integrity and data reporting latency, which can be critical in deploying the proposed data gathering strategy. Simulation results demonstrate that the average data reporting latency is hardly affected and the real-time event detection ratio is greater than 80% when the desired sensing coverage is at least 80%. It is also shown that the sensors can conserve a significant amount of energy with a small trade-off, and that the higher the network density, the higher is the energy conservation rate without any additional computation cost.
机译:我们提出了一种用于无线传感器网络的新型节能数据收集策略。提议的策略基于覆盖范围和数据报告延迟之间的权衡,其最终目标是最大化网络的使用寿命。基本思想是在每个回合中仅选择至少k个传感器作为数据报告器,这些传感器足以满足用户或应用程序提供的所需传感范围。最小数据报告器的这种选择还减少了每一回合中流向数据收集点的流量,从而避免了网络拥塞以及信道干扰/争用。所提出的策略包括用于最小k传感器选择的三种方案。使用这些方案,我们评估了事件检测完整性和数据报告延迟等基本问题,这对于部署建议的数据收集策略至关重要。仿真结果表明,当期望的感知覆盖率至少为80%时,平均数据报告延迟几乎不会受到影响,实时事件检测率大于80%。还显示出,传感器可以以较小的折衷来节省大量能量,并且网络密度越高,能量节省率越高,而无需任何额外的计算成本。

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