Adaptive Multi-metric Geographic Routing Protocol for FANETs
Vikramjit Singh, Krishna Pal Sharma, Harsh Kumar Verma · 2024
Flying Ad-Hoc Networks (FANETs) have gained remarkable importance across diverse industries. Critical applications such as disaster response, reconnaissance, and emergency assistance rely on efficient data delivery within FANETs. However, designing a robust routing protocol for FANETs is challenging because of their distinct characteristics, including high mobility, varying topology, sparse connectivity, and fluctuating link qualities. This study addresses these challenges by proposing an adaptive multi-metric geographic routing (AMGR) protocol. AMGR aims to establish a robust routing path by considering multiple metrics such as link quality, connectivity, and progress. Using the Analytic Hierarchy Process (AHP), AMGR dynamically prioritizes these metrics, enhancing its adaptability to dynamic network conditions. The effectiveness of AMGR is evaluated through simulations using ns-3 and compared with two existing geographic routing protocols: Greedy Perimeter Stateless Routing (GPSR) and Utility Function based Greedy Perimeter Stateless Routing (UF-GPSR). Simulation results show that AMGR achieves a better packet delivery ratio and end-to-end delay than GPSR and UF-GPSR.