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An optimal lifetime-adaptive method for wireless sensor networks

机译:无线传感器网络的最佳寿命自适应方法

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Two important factors that affect the performance of wireless sensor networks (WSNs) are data quality and network lifetime. This paper exploits the tradeoff between data quality and network lifetime to improve data collection precision while the network lifetime is adapted. The problem is to minimize the total error bound for approximate data aggregation in both single-hop and multi-hop WSNs to achieve the adaptive network lifetime. This problem is formulated as an optimization problem by combining the changing pattern of sensor readings, the residual energy of sensor nodes, and the communication cost from the sensor node to the base station. Our method is theoretically analyzed and further evaluated by conducting simulation experiments. To the best of our knowledge, this is the first study on minimizing the total error bound while achieving the adaptive network lifetime.
机译:影响无线传感器网络(WSN)性能的两个重要因素是数据质量和网络寿命。本文利用数据质量和网络生存时间之间的折衷来提高数据收集精度,同时适应网络生存时间。问题在于最小化单跳和多跳WSN中近似数据聚合的总误差范围,以实现自适应网络寿命。通过结合传感器读数的变化模式,传感器节点的剩余能量以及从传感器节点到基站的通信成本,将此问题表述为优化问题。我们的方法从理论上进行了分析,并通过进行仿真实验进行了进一步评估。据我们所知,这是在使自适应网络寿命最大化的同时最大程度地减小总误差范围的第一项研究。

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