Intelligent Greedy Perimeter Stateless Routing Scheme for Unmanned Aerial Vehicles

• Published in: 东华大学学报（英文版） Vol. 39; no. 6; pp. 603 - 613
• Main Authors: BAIG Mohsin Ayub, ZHANG Yihong, YE Xiaoxian, SULTANA Umbrin, AKBAR Sunila, LI Shuai, AHMAD Sohail
• Format: Journal Article
• Language: English
• Published: Engineering Research Center of Digitized Textile&Fashion Technology,Ministry of Education,Donghua University,Shanghai 201620,China%School of Art and Design,Shanghai University of Engineering Science,Shanghai 201620,China%Department of Electrical Engineering,NED University of Engineering and Technology,Karachi 75270,Pakistan 2022; College of Information Science and Technology,Donghua University,Shanghai 201620,China%College of Information Science and Technology,Donghua University,Shanghai 201620,China
• Subjects: unmanned aerial vehicle (UAV); vehicular ad-hoc network (VANET); greedy perimeter stateless routing ( GPSR ); intelligent greedy perimeter stateless routing (IGPSR); flying ad-hoc network (FANET)
• ISSN: 1672-5220
• DOI: 10.19884/j.1672-5220.202105012

TN925; The dynamic behavior, rapid mobility, abrupt changes in network topology, and numerous other flying constraints in unmanned aerial vehicle (UAV) networks make the design of a routing protocol a challenging task. The data routing for communication between UAVs faces numerous challenges, such as low link quality, data loss, and routing path failure. This work proposes greedy perimeter stateless routing ( GPSR) based design and implementation of a new adaptive communication routing protocol technique for UAVs, allowing multiple UAVs to communicate more effectively with each other in a group. Close imitation of the real environment is accomplished by considering UAVs' three-dimensional (3D) mobility in the simulations. The performance of the proposed intelligent greedy perimeter stateless routing (IGPSR) scheme has been evaluated based on end-to-end (E2E) delay, network throughput, and data loss ratio. The adapted scheme displayed on average 40％ better results. The scenario has been implemented holistically on the network simulator software NS-3.