In this paper, in order to maximize a long-term average system transmission rate, we propose an optimal energy cooperation policy for the sustainable wireless sensor networks where each pair of nodes can harvest energy and transfer energy in the pair. We formulate this optimization problem into a Markov decision process (MDP). We define a node pairing metric—relative energy distance ratio (REDR)—to design a node pairing algorithm which can decouple the original MDP into a multiple low dimension MDP. Then, value iteration and relative value iteration algorithms are brought to find optimal energy cooperation policies over finite and infinite horizons for each pair of nodes respectively. Simulation results show that the system transmission rate of the proposed policy with REDR based pairing algorithm outperforms the non-cooperation policies as well as the policies with straightforward pairing algorithms.

中文翻译：

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基于融合中心的可持续无线传感器网络中的最优能源合作策略

在本文中，为了最大化长期平均系统传输速率，我们提出了可持续无线传感器网络的最佳能量合作策略，其中每对节点都可以在对中收集能量并传输能量。我们将此优化问题表述为马尔可夫决策过程 (MDP)。我们定义了一个节点配对度量——相对能量距离比（REDR）——来设计一个节点配对算法，该算法可以将原始 MDP 解耦为一个多低维 MDP。然后，引入值迭代和相对值迭代算法，分别为每对节点在有限和无限范围内寻找最优的能量合作策略。