Study and Development of Coordination Algorithms for Drone Networks

Abstract

The new networking paradigms like Flying Adhoc Network (FANET) and Vehicular newlineAdhoc Network (VANET) have emerged in the last two decades as an evolution of Mo- newlinebile Adhoc Network (MANET). At the moment, there is a growing trend to establish newline communication in the sky via the FANET of unmanned aerial vehicles (UAV). Due newlineto its risk-free piloting capabilities, FANET is becoming ever more popular. Compared newlineto a single UAV, FANETs are probably more reliable at completing operational respon- newlinesibilities. newlineAdditionally, due to their great mobility, FANETs do not have a fixed topology and newlinerapidly modify their topological structure. UAVs used in real-time applications have newlinea variety of characteristics, including streaming and on-board video processing. The newlineUAVs onboard systems use a protocol with a high bandwidth, high degree of mobil- newlineity, high degree of link stability, and high energy consumption. Coordination amongst newlineUAVs in the FANET is more difficult because of its rapid mobility and unstable topo- newlinelogical structure. Additionally, the modern techniques for node coordination employed newlinein the traditional adhoc network cannot be used in the FANET.In response to the afore- newlinementioned challenges, we present a new distributed node coordination algorithm de- newlinesigned specifically for FANETs. The primary concept behind this algorithm involves newlinethe application of General Potential Field-based node coordination (GPFnc). A sim- newlineulated environment is created and the proposed algorithm is experimentally validated.From the experimental results it is clear that the proposed GPFnc achieves better scala-bility, reliability and fast network formation than the existing state of the art algorithms of MANET. We also analyzed the performance of FANET using static and dynamic newlineenvironments and evaluated the feasibility and effectiveness of the proposed GPFnc. newlineResearchers are being directed to focus on a range of challenges as a direct result newlineof the rising use of UAVs. These issues include the processing of information that is newlineboth rich and large