journal article Open Access May 31, 2019

Energy-Effective Data Gathering for UAV-Aided Wireless Sensor Networks

Sensors Vol. 19 No. 11 pp. 2506 · MDPI AG
View at Publisher Save 10.3390/s19112506
Abstract
Unmanned aerial vehicles (UAVs) are capable of serving as a data collector for wireless sensor networks (WSNs). In this paper, we investigate an energy-effective data gathering approach in UAV-aided WSNs, where each sensor node (SN) dynamically chooses the transmission modes, i.e., (1) waiting, (2) conventional sink node transmission, (3) uploading to UAV, to transmit sensory data within a given time. By jointly considering the SN’s transmission policy and UAV trajectory optimization, we aim to minimize the transmission energy consumption of the SNs and ensure all sensory data completed collected within the given time. We take a two-step iterative approach and decouple the SN’s transmission design and UAV trajectory optimization process. First, we design the optimal SNs transmission mode policy with preplanned UAV trajectory. A dynamic programming (DP) algorithm is proposed to obtain the optimal transmission policy. Then, with the fixed transmission policy, we optimize the UAV’s trajectory from the preplanned trace with recursive random search (RRS) algorithm. Numerical results show that the proposed scheme achieves significant energy savings gain over the benchmark schemes.
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Metrics
36
Citations
35
References
Details
Published
May 31, 2019
Vol/Issue
19(11)
Pages
2506
License
View
Funding
National Natural Science Foundation of China Award: 61871446, 61427801, 61701201
Natural Science Foundation of Jiangsu Province Award: BK20170758
China Scholarship Council Award: 201808320334
Postgraduate Research & Practice Innovation Program of Jiangsu Province Award: KYCX18 0893
Cite This Article
Bin Liu, Hongbo Zhu (2019). Energy-Effective Data Gathering for UAV-Aided Wireless Sensor Networks. Sensors, 19(11), 2506. https://doi.org/10.3390/s19112506
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