In this article, we aim at maximizing the data gathering performance of the rechargeable wireless sensor network, where a mobile sink moves along the predefined path to charge sensor nodes through a wireless energy transfer technique and gather data from them. First, we show how to transform the original time-average optimization problem into a queue stability one by using the Lyapunov optimization framework, then we show how to decompose it into multiple subproblems by using the optimization decomposition. A distributed speed control and routing algorithm was proposed to reduce the computing load of the mobile sink and to obtain the near-optimal solution for data collection. Our analysis shows that there is an inherent tradeoff between the network utility and the average data queuing size, and the proposed adaptive transmission scheme can achieve the near-optimal network utility when a certain queueing delay can be tolerated.

中文翻译：

---

具有移动接收器的可充电无线传感器网络的自适应传输设计

在本文中，我们旨在最大程度地提高可充电无线传感器网络的数据收集性能，其中移动接收器沿着预定义的路径移动，以通过无线能量传输技术为传感器节点充电并从中收集数据。首先，我们展示如何使用Lyapunov优化框架将原始的平均时间优化问题转化为队列稳定性，然后展示如何通过优化分解将其分解为多个子问题。提出了一种分布式速度控制和路由算法，以减少移动接收器的计算负担，并获得接近最佳的数据收集解决方案。我们的分析表明，网络实用程序和平均数据队列大小之间存在固有的权衡，