An energy efficiency routing protocol for UAV-aided WSNs data collection
Ad Hoc Networks, ISSN: 1570-8705, Vol: 154, Page: 103378
2024
- 7Citations
- 8Captures
- 1Mentions
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Most Recent News
Report Summarizes Unmanned Aerial Vehicle Study Findings from Nanjing University of Aeronautics and Astronautics (An Energy Efficiency Routing Protocol for Uav-aided Wsns Data Collection)
2024 FEB 01 (NewsRx) -- By a News Reporter-Staff News Editor at Defense & Aerospace Daily -- Investigators discuss new findings in Aviation - Unmanned
Article Description
In recent years, Unmanned Aerial Vehicle (UAV)-aided Wireless Sensor Networks (WSNs) have become a hot research topic. The routing protocol is a crucial technology for data transmission in UAV-WSNs. In this paper, we propose an efficient routing protocol for UAV-WSNs data collection to address the high energy consumption and premature death of some sensor nodes (SNs) caused by existing routing protocols. Firstly, the UAV-WSNs data collection framework is established, and a UAV communication coverage model is derived. Secondly, according to the data transmission link, we preliminarily divide the routing area into air-to-ground routing area and ground-to-ground routing area. Based on this, a multi-hop routing protocol based on unequal-sized clustering is proposed to promote the balance of energy consumption between clusters. Then, we propose a sector dynamic adjustment strategy inspired by lottery turntable wheels, which dynamically adjusts the member nodes in each cluster by simulating a rotation to ensure the balance of energy consumption between SNs in the cluster. Finally, the feasibility and efficiency of the proposed protocol are verified through simulation and comparative experiments.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1570870523002986; http://dx.doi.org/10.1016/j.adhoc.2023.103378; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85180418092&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S1570870523002986; https://dx.doi.org/10.1016/j.adhoc.2023.103378
Elsevier BV
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