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Optimal topology design for energy efficient consensus in broadcast wireless sensor networks

机译:广播无线传感器网络中节能共识的最佳拓扑设计

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Average consensus algorithms are an essential tool in wireless sensor networks for multiple estimation tasks, being the convergence time and the energy consumption of these algorithms critical for their usability. Most existing work in the related literature focuses on improving these two parameters, assuming generally unicast communications, which are neither realistic nor efficient given the wireless nature of these networks. Instead, broadcast communications allow a greater instantaneous exchange of information between the network nodes, accelerating the consensus and saving energy in communications. In this work, we propose two methods that optimize the network topology to simultaneously improve the total power consumption per iteration, the maximum power consumption per node and the convergence time in a broadcast scenario. The first method is applied to continuous systems, while the second one is more suitable for discrete systems. Numerical results are presented to show the validity and efficiency of the proposed methods.
机译:平均共识算法是无线传感器网络中用于多个估计任务的必不可少的工具,这些算法的收敛时间和能耗对其可用性至关重要。在相关文献中,大多数现有的工作集中在改善这两个参数上,假设一般是单播通信,考虑到这些网络的无线特性,这既不现实也不有效。相反,广播通信允许在网络节点之间进行更大的瞬时信息交换,从而加快共识并节省通信能量。在这项工作中,我们提出了两种方法来优化网络拓扑,以同时提高每次迭代的总功耗,每个节点的最大功耗以及广播场景中的收敛时间。第一种方法适用于连续系统,而第二种方法更适用于离散系统。数值结果表明了所提方法的有效性和有效性。

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