Short-Term Throughput Maximization for Battery Limited Energy Harvesting Nodes
Short-Term Throughput Maximization for Battery Limited Energy Harvesting Nodes
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DOI：
10.1109/icc.2011.5963352
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发表时间：
2011-06
期刊：
影响因子：
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通讯作者：
Kaya Tutuncuoglu;A. Yener
中科院分区：
文献类型：
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作者：
Kaya Tutuncuoglu;A. Yener
部署能量收集节点可以显著延长电池供电无线网络的寿命。这些系统的性质要求有特定的设计原则来有效地利用动态能源。与传统的无线网络不同，这些系统的传输策略应该考虑节点的充电过程以及电池容量。在这项工作中，我们集中于寻找最优传输策略来最大化能量收集发射机节点在功率控制和有限储能容量下的短期吞吐量的问题。该问题中的传输策略受到能量到达过程和节点储能能力的严格约束。对这一问题的分析建立在信息理论研究结果表明的电价关系日益凹陷的基础上。考虑了能量到达包的离散模型进行能量补充，并寻求了一种算法来产生短期吞吐量最大化策略。确定了此类策略应满足的必要条件，并给出了生成满足这些条件的唯一策略的算法。然后通过数值结果观察了该算法的性能。
Deploying energy harvesting nodes can significantly extend the lifetime of a battery powered wireless network. The nature of these systems calls for specific design principles to efficiently utilize the dynamic energy resources. In contrast to the conventional wireless networks, transmission policies for these systems should take into account the recharge process of the node as well as its battery capacity. In this work, we focus on the problem of finding the optimal transmission policy to maximize the short-term throughput of an energy harvesting transmitter node with power control and a limited energy storage capacity. The transmission policy in this problem is strictly constrained with both the energy arrival process and the energy storage capacity of the node. The analysis of the problem is founded on the increasing concave nature of the power-rate relationship information theoretic findings suggest. A discrete model with packets of energy arrivals is considered for energy replenishment, and an algorithm to yield the short-term throughout maximizing policy is sought. The necessary conditions such a policy should satisfy are identified and an algorithm to yield the unique policy that satisfies these conditions is presented. The performance of this algorithm is then observed through numerical results.