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首页> 外文期刊>International Journal of Sensor Networks >Maximum-lifetime data aggregation for wireless sensor networks with cooperative communication
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Maximum-lifetime data aggregation for wireless sensor networks with cooperative communication

机译:具有协作通信的无线传感器网络的最大生命周期数据聚合

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摘要

Cooperative communication becomes an attractive technology to avoid the signal fading for wireless transmissions. Multiple nodes can cooperatively transmit the data packets to a receiver so as to improve the spatial diversity and save the power consumption. As data aggregation is one of the most important operations for surveillance applications, this paper studies the maximum-lifetime data aggregation with cooperative communication (MLDAC) in wireless sensor networks. We first analyse the optimal power allocation for cooperative data aggregation, and propose the LPS algorithm which maximises the network lifetime through iteratively adjusting the selection of the cooperative node pairs. We also present a distributed algorithm (called DLPS), in which each node decides to participate into the cooperative transmission only with local information. The simulation results show that the LPS and DLPS algorithms will help to prolong the network lifetime by 17.9% and 12.7% compared with the traditional algorithm.
机译:协作通信成为一种吸引人的技术,可以避免无线传输的信号衰减。多个节点可以协同将数据包发送到接收器,以改善空间分集并节省功耗。由于数据聚合是监视应用程序中最重要的操作之一,因此本文研究了无线传感器网络中使用协作通信(MLDAC)的最大寿命数据聚合。首先,我们分析了用于协作数据聚合的最佳功率分配,并提出了LPS算法,该算法通过迭代地调整协作节点对的选择来最大化网络寿命。我们还提出了一种分布式算法(称为DLPS),其中每个节点决定仅使用本地信息来参与协作传输。仿真结果表明,与传统算法相比,LPS和DLPS算法将使网络寿命延长17.9%和12.7%。

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