Swarm Intelligence Based Self-Organized Networking For UAV Networks

With technological advancements in wireless communication,5G and beyond networks have laid founding stones for a new sub-branch of ad hoc networks known as flying ad hoc networks(FANET).FANET typically comprises of mobile unmanned aerial vehicles(UAV)networked together to form coalition for data transmission.A set of mini UAVs with computational capabilities can be considered as a set of intelligent swarms.Swarm Intelligence is the swarming behavior which can be inspired by the biological species to perform tasks in a cooperative and collaborative manner.The mobile nature of UAVs leads the topology to change frequently,resulting in link breakage problems.So the network formation for routing of data becomes difficult due to the frequent link breakages.Another major issue that arise in FANET is the limited battery resources of UAVs which results in disconnection of nodes from the network as the energy of the UAV depletes.Thus to solve all these issues,this research focuses on the effective networking of the UAVs for efficient communication.For the power saving issue,this research work proposes the energy efficient hybrid clustering mechanism for energy efficient cluster formation,cluster management and maintenance.The emergency scenario requires high data rate with minimal latency,so to ensure low delay and avoid congestion,an urgency aware packet management scheme based on priority is proposed.Lastly,to solve the link breakages problem,and ensuring reliability and stability in network,a self-organized based cluster management scheme is proposed.This research work significantly contributes to the literature of swarm intelligence based self-organized networking for FANET.