Routing protocols & unmanned aerial vehicles autonomous localization in flying networks

Abstract

Nowadays, as the world is transformed because of the interconnectivity, there we see several issues regarding security which is supposed to be one of the biggest problems for the concept of smart cities. In future, aerial vehicles can be merged with smart cities to enhance the interoperability among internet of things (IoT) devices. Routing protocols plays an important role when flying vehicles communicate with one another. Reinforcing connection in flying ad hoc networks using routing protocols is the optimal way to reduce end-to-end delay. However, utilizing flying networks with the deployment of routing techniques is a very difficult task to tackle the dynamic pattern of aerial vehicles. Internet of flying vehicles is the emerging area which is still in the evolutionary process; however, the interconnectivity can be efficiently formulated by applying security algorithms for improving signal power. In unmanned aerial vehicles (UAVs), every node will have some specific location, direction, speed, velocity, and acceleration which will identify and relate information about mobility model. This paper proposes a novel routing technique, which is the extension of AntHocNet due to mobile characteristics; it is termed as flying nature inspired algorithm. Also a case study is conducted to improve the signal power using modeled learning approach called decision tree. Experimental simulations are managed on network simulators that prove the proposed work efficiency.