Volume 18, No. 6, 2021

Novel Clustering Based Energy Efficient With Adaptive Pso Approach For Congestion Control In Fanet

Megala D , Dr. V Kathiresan


Flying ad-hoc networks (FANETs) are a very vibrant research area nowadays. They have many military and civil applications. Limited battery energy and the high mobility of micro unmanned aerial vehicles (UAVs) represent their two main problems, i.e., short flight time and inefficient routing. A large number of recent advancements in the technology of Unmanned Aerial Vehicles (UAVs) have enabled them to be very useful and effective in many applications in today’s society. Unmanned aerial vehicles (UAVs) are proving to be an extremely flexible platform for a variety of applications. With advances in computation, sensor, communication, and networking technologies, the utilization of UAVs for military and civilian areas has become extremely popular in the last two decades. UAVs have to exchange information with each other and with the control station in order to meet the needs of their applications. The Mobile Ad hoc Network (MANET) is a solution to deliver this information to its destination over long ranges via one or multiple relays. In fact, MANET is a multi-hop wireless network where each node in the network acts as a mobile wireless terminal as well as a router to forward information to its neighbours. Thus, all nodes in the network are connected without requiring a pre-existing infrastructure, which makes MANET a cost-effective technology. Now, the researchers focusing on the Energy efficient techniques for improve the lifetime of the network. We propose a new EE-FANET based hybrid novel clustering based routing approach called Energy Efficient Clustering and Route Optimization Scheme in Flying Ad Hoc Networks (EECROS-EE-FANET). The proposed scheme combined with two aspects, initially, the UAV (node) energy information’s are collected and based on the energy level it is clustered. Secondly, the route formation between the nodes and data transmission is made through the swarm optimization based approach. Our proposed approach will provide the efficient usage of energy, packet delivery ratio and throughput.

Pages: 2550-2567

Keywords: FANET, Sensor nodes, Applications, Energy Efficient, Unmanned Aerial Vehicles, Clustering, Swarm Optimization.

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