Energy-Efficient Data Collection and Trajectory Design for UAV-Enabled Wireless Sensor Network

Shanxin Zhang, R. Cao, Zefeng Jiang
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引用次数: 1

Abstract

In wireless sensor networks (WSNs), unmanned aerial vehicles (UAV) has become an effective data collection technology, but the large amount of energy consumption generated in the data collection process seriously reduces the life of the wireless sensor network. Aiming at the problem of high energy consumption in the data collection process of wireless sensor networks, an energy-efficient data collection strategy based on sensor nodes (SNs) wake-up scheduling and UAV trajectory design is designed. Based on this scheme, a problem of minimizing the weighted energy consumption of UAV and SNs is constructed. This problem is described as a mixed integer non-convex programming problem, which is usually difficult to solve. Aiming at this problem, a joint optimization algorithm based on path discretization and successive convex approximation is proposed to obtain a local optimal solution that satisfies the KKT condition. Experimental results show that our proposed scheme can achieve significant network energy saving, and can achieve a flexible trade-off between the energy consumption of UAV and SNs.
基于无人机的无线传感器网络节能数据采集与轨迹设计
在无线传感器网络(WSNs)中,无人机(UAV)已成为一种有效的数据采集技术,但数据采集过程中产生的大量能耗严重降低了无线传感器网络的使用寿命。针对无线传感器网络数据采集过程中存在的高能耗问题,设计了一种基于传感器节点唤醒调度和无人机轨迹设计的高能效数据采集策略。在此基础上,构造了无人机与网络的加权能耗最小化问题。这个问题被描述为一个通常很难解决的混合整数非凸规划问题。针对这一问题,提出了一种基于路径离散化和逐次凸逼近的联合优化算法,以求得满足KKT条件的局部最优解。实验结果表明,该方案可以实现显著的网络节能,并能实现无人机与网络能耗之间的灵活权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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