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Aggregator Modeling with Multiple Active/Sleep Modes for Wireless Sensor Networks

机译:用于无线传感器网络的多个主动/睡眠模式的聚合器建模

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Data aggregation and active/sleep scheme are wildly used in energy-efficient wireless sensor networks. However, little research has been done on the optimal active/sleep scheme design for an aggregator node. In our previous work, we developed a stochastic model of aggregator node with active/sleep scheme for performance analysis and optimization. That model simulates the direct mode transfer from active to sleep or vice versa. In this paper, we propose a new stochastic analytical model for aggregator with multiple modes in the active period which reflect the wireless sensor's multiple energy saving modes. We derive Complete Aggregation Packet (CAP) rate, Total Aggregation Packet (TAP) rate, the Success Ratio which is defined as CAP rate divided by TAP rate, and Average Packet Delay (APD) to evaluate the aggregator performance. The extensive numerical simulations validate the accuracy of the stochastic analytical model. We would like to optimize the performance measures of APD and TAP rate by Lagrangian Optimization method which has not been finished yet.
机译:数据聚合和主动/睡眠方案在节能无线传感器网络中使用。但是,对于聚合器节点的最佳主动/睡眠方案设计,已经完成了很少的研究。在我们以前的工作中,我们开发了具有主动/睡眠方案的聚合节点的随机模型,用于性能分析和优化。该模型模拟从主动睡眠的直接模式转移,反之亦然。本文提出了一种新的随机分析模型,具有多种模式的激活时期,反映无线传感器的多个节能模式。我们推出完整的聚合数据包(帽)速率,总聚合数据包(TAP)速率,定义为CAP速率的成功比率除以抽头速率,以及平均数据包延迟(APD)来评估聚合器性能。广泛的数值模拟验证随机分析模型的准确性。我们想优化尚未完成的拉格朗日优化方法的APD和Tap Rate的性能测量。

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