Distributed energy consumption minimization for lossless data gathering wireless sensor networks

Volkan Dedeoglu, S. Perreau, A. Grant
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引用次数: 2

Abstract

In this paper, we propose a distributed optimization algorithm that minimizes the energy consumption of lossless data gathering wireless sensor networks by allocating variable transmit power and data compression/transmission rate to each sensor node. Using the Lagrange duality, we decompose the convex energy consumption minimization problem into subproblems, which can be solved by the sensor nodes distributively. The convergence of the iterative algorithm is demonstrated by the simulations.
分布式能源消耗最小化无损数据采集无线传感器网络
在本文中,我们提出了一种分布式优化算法,该算法通过为每个传感器节点分配可变的传输功率和数据压缩/传输速率来最小化无损数据采集无线传感器网络的能耗。利用拉格朗日对偶性,将凸能耗最小化问题分解为若干子问题,这些子问题可由传感器节点分布求解。仿真结果证明了迭代算法的收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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