Recently, we have witnessed the rapid development of techniques on upgrading energy efficiency for wireless sensor networks (WSN). With the improvement of the detection range and the detection intensity, the lifetime of wireless sensor networks (WSN) is still limited by sensor node batteries (BA). Due to the need for wireless sensor network energy optimization, the power supply side has been putting forward higher requirements, and the traditional wireless sensor network with energy supplement has difficulty in meeting this development trend. The game and potential game concepts were introduced to take economics into account. Taking the wireless sensor network (WSN) with photovoltaic (PV) array charging and mobile-charging car (MCC) as an example, a running optimization model based on potential game is proposed, and the existence of Nash equilibrium has been proven. The iterative solution is completed by communication between the players, and the energy utilization rate is effectively improved. This paper verifies that potential game theory can be used to improve the feasibility and efficiency of wireless sensor network energy optimization.

中文翻译：

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基于势博弈的无线传感器网络能量分布式优化算法

最近，我们见证了无线传感器网络（WSN）能效提升技术的快速发展。随着探测范围和探测强度的提高，无线传感器网络（WSN）的寿命仍然受到传感器节点电池（BA）的限制。由于无线传感器网络能量优化的需要，供电端提出了更高的要求，而传统的能量补充的无线传感器网络难以适应这一发展趋势。引入博弈和潜在博弈概念是为了将经济学考虑在内。以具有光伏（PV）阵列充电和移动充电车（MCC）的无线传感器网络（WSN）为例，提出了一种基于势博弈的运行优化模型，并且证明了纳什均衡的存在。通过玩家之间的交流来完成迭代解决，有效提高能量利用率。本文验证了潜在博弈论可用于提高无线传感器网络能量优化的可行性和效率。