Trajectory Design for Distributed Estimation in UAV-Enabled Wireless Sensor Network
Trajectory Design for Distributed Estimation in UAV-Enabled Wireless Sensor Network
复制标题
无人机无线传感器网络中分布式估计的轨迹设计
DOI：
10.1109/tvt.2018.2859450
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发表时间：
2018-05
影响因子：
6.8
通讯作者：
Zhang Rui
中科院分区：
文献类型：
--
作者：
Zhan Cheng;Zeng Yong;Zhang Rui
在本文中，我们研究了一个无人机（UAV）使能的无线传感器网络，其中无人机被派遣到收集传感器节点（SN）的传感器数据估计未知参数。结果表明，为了使估计的均方误差最小，无人机应收集尽可能多的SN数据，并在此基础上建立了一个基于实际机动约束的无人机航迹优化设计问题。虽然问题是非凸的和NP-难的，我们表明，最佳无人机轨迹只包括连接的线段。通过这种简化，利用经典的旅行商问题和应用凸优化技术，提出了一个有效的次优解。仿真结果表明，所提出的轨迹设计实现了显着的性能增益的SN的数据被成功收集的数量，与其他基准计划相比。
In this paper, we study an unmanned aerial vehicle (UAV)-enabled wireless sensor network, where a UAV is dispatched to collect the sensed data from distributed sensor nodes (SNs) for estimating an unknown parameter. It is revealed that in order to minimize the mean square error for the estimation, the UAV should collect the data from as many SNs as possible, based on which an optimization problem is formulated to design the UAV's trajectory subject to its practical mobility constraints. Although the problem is nonconvex and NP-hard, we show that the optimal UAV trajectory consists of connected line segments only. With this simplification, an efficient suboptimal solution is proposed by leveraging the classic traveling salesman problem and applying convex optimization techniques. Simulation results show that the proposed trajectory design achieves a significant performance gain in terms of the number of SNs whose data are successfully collected, as compared with other benchmark schemes.
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