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Distributed Computation of Fair Packet Rates in Energy Harvesting Wireless Sensor Networks

机译:能量收集无线传感器网络中公平数据包速率的分布式计算

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Energy harvesting is a key technology to enable long-term wireless sensor network applications. In the case of multi-hop networks, each node both performs measurements to produce data to be sent to a sink, and relays data packets from other nodes. In this letter, we propose a distributed algorithm for computation of fair packet rates for multi-hop energy harvesting wireless sensor networks. The packet rate computation problem is formulated as a convex optimization problem, and using the fast alternating direction method of multipliers, the original problem is decomposed into smaller subproblems that can be solved in parallel. Simulations using real indoor light energy traces show that the algorithm computes high accuracy solutions, even with a low median number of iterations (10 or less). By setting the stop criteria parameter, a compromise can be set between the accuracy of the solution and the number of iterations required.
机译:能量收集是实现长期无线传感器网络应用的关键技术。在多跳网络的情况下,每个节点都执行测量以生成要发送到接收器的数据,并中继来自其他节点的数据包。在这封信中,我们提出了一种分布式算法,用于计算多跳能量收集无线传感器网络的公平数据包速率。分组速率计算问题被公式化为凸优化问题,并且使用乘法器的快速交替方向方法,将原始问题分解为可以并行解决的较小子问题。使用真实的室内光能轨迹进行的仿真表明,即使迭代次数的中位数较低(10个或更少),该算法也可以计算出高精度的解决方案。通过设置停止标准参数,可以在解决方案的精度和所需的迭代次数之间进行折衷。

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