IoT-Aided Self-Adaptive Routing for Flying Ad Hoc Network Using Gauss-Markov Mobility Model

Introduction: Unmanned aerial vehicles (UAVs) are low-cost, easy to deploy, and can be integrated with IoT to solve human-related problems. They have applications in military and civil sectors, such as forest fire detection, sports monitoring, agriculture, and border surveillance. UAV-based applications can be signal or multi-system. Methods: This work is an attempt to present routing protocols within FANET. AntHocNet has shown better results than traditional routing protocols. While basic principle of ant colony optimization is used in the proposed algorithm. Engineers face a lot of problems due to the dynamic behavior of UAVs. Traditional routing protocols are compared with the proposed algorithm in simulation results. Gauss-Markov mobility model is used which easily covers temporal dependencies. Quality of experience parameters are utilized to check routing protocols' performance. More interestingly, various applications of UAVs are discussed in detail. Result/Discussion: Unbalanced communication in UAVs directly disturbs the entire network. Conclusion: Therefore, routing protocols are introduced in UAV-to-UAV communication. During simulation packet loss, throughput, end-to-end delay, bandwidth utilization, packet drop rate, and packet delivery parameters are used.