Home // SPACOMM 2020, The Twelfth International Conference on Advances in Satellite and Space Communications // View article
Authors:
Azusa Danjo
Shinsuke Hara
Takahiro Matsuda
Fumie Ono
Keywords: Unmanned Aerial Vehicle; Received Signal Strength; Tensor Completion.
Abstract:
In this paper, we propose a method for selecting a single data collection point for an Unmanned Aerial Vehicle (UAV)-enabled disaster recovery network where UAVs need to collect messages from refugees while hovering above multiple shelters. Just by sensing the Received Signal Strengths (RSSs) for the wireless signals transmitted from multiple shelters at fewer randomly-selected points in the three-dimensional (3D) region above a disaster-hit area, through a tensor completion, the proposed method reconstructs full RSS maps for the multiple shelters in the entire 3D region, and selects a single data collection point using the reconstructed RSS maps where UAVs can collect messages from them more quickly and more energy-efficiently. The experimental results reveal that by sensing RSSs in 25% of a 3D region, the proposed method can collect messages from three transmitters using a shorter route of UAV in a shorter message collection time.
Pages: 7 to 12
Copyright: Copyright (c) IARIA, 2020
Publication date: February 23, 2020
Published in: conference
ISSN: 2308-4480
ISBN: 978-1-61208-769-6
Location: Lisbon, Portugal
Dates: from February 23, 2020 to February 27, 2020