Abstract

Due to its air superiority and high mobility, unmanned aerial vehicle (UAV) can obtain better line-of-sight (LoS) link transmission channel. Therefore, UAV assisted data collection for wireless sensor networks (WSNs) has become an important research direction. This paper intends to minimize the loss of WSNs for the robust data acquisition and communication assisted by UAV under the imperfect channel state information (CSI). On the premise of ensuring the completion of the communication task, we jointly optimize the wake-up schedule of SNs and the flight trajectory of the UAV, by considering the flight speed of the UAV and the sparse access of all sensor nodes (SNs) in WSN. Because the formulated optimization problem is a mixed integer nonconvex problem, we decompose the original problem into the efficient suboptimal solutions to overcome the difficulty of the optimization. Finally, the number of access node corresponding to the optimized operation time and access efficiency is induced for the entire WSN system efficiency improving. The simulation shows the performance gains of our proposed scheme and the influences of the system parameters are analyzed.

Highlights

  • Wireless sensor networks (WSNs) are usually composed of a large number of low-cost sensor nodes (SNs)

  • This paper intends to minimize the loss of wireless sensor networks (WSNs) for the robust data acquisition and communication assisted by unmanned aerial vehicle (UAV) under the imperfect channel state information (CSI)

  • On the premise of ensuring the completion of the communication task, we jointly optimize the wake-up schedule of SNs and the flight trajectory of the UAV, by considering the flight speed of the UAV and the sparse access of all sensor nodes (SNs) in WSN

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Summary

Introduction

Wireless sensor networks (WSNs) are usually composed of a large number of low-cost sensor nodes (SNs). There are three applications of UAV in wireless communication: the first is as an air base station to supplement the service area that the ground base station cannot cover. In [5], the influence of the altitude and trajectory of the UAV on the coverage rate of the system in two scenarios in the D2D communication network is considered. In order to maximize the end-toend throughput between the source node and the destination node, the multi-hop and the single-hop UAV relay systems are mainly considered [2] [6]. Applying UAV as a flight access point for data collection and information dissemination has become an attractive field of research [2] [7]-[12]

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