Adaptive Movement and Formation Coordinated Control for Flying Ad-Hoc Networks (FANETs) in Dynamic Environments

In this paper, we propose an adaptive movement and formation coordinated control algorithm for Flying Ad-Hoc Networks (FANETs) operating in dynamic environments. The proposed group flight algorithm presents a significant advancement in the field of FANETs, addressing critical challenges in communication reliability, formation integrity, and adaptive network optimization. Through innovative integration of synchronized trajectory planning and dynamic communication protocols, this algorithm demonstrates superior performance in maintaining operational cohesion among multiple Unmanned Aerial Vehicles (UAVs) across diverse deployment scenarios. The proposed algorithm integrates a consensus-based control law with real-time communication quality assessment and environmental awareness to ensure robust formation maintenance and efficient data communication. We formulate a control strategy that adapts formation parameters based on network health metrics such as packet delivery ratio (PDR) and latency. Simulation results, conducted in diverse scenarios (Urban, Disaster, Border), validate the efficacy of the proposed algorithm in maintaining formation integrity and optimizing network performance under realistic constraints, including obstacles, interference, and UAV battery limitations. Simulation results reveal substantial improvements in network latency reduction (up to 37%), bandwidth utilization efficiency (increased by 42%), and enhanced fault tolerance capabilities compared to conventional approaches.