A Survey on QoS in Flying Ad Hoc Network based on Fuzzy Inference Based Routing Protocol

Flying ad hoc networks (FANETs) are showing promise in a variety of unmanned aerial vehicle application situations, such as urban surveillance or search as well as rescue operations. These networks, however, provide a unique set of communication challenges. This has led to several studies looking at how they function in a simulated environment. Even while various models of mobile node behavior in an ad-hoc network exist, most of them cannot be relied upon to accurately imitate the movements of unmanned aerial vehicles unless they are properly modeled. Small unmanned aerial vehicles (UAVs) may be used to create flexible, low-cost, and fast-to-deploy FANETs. Because of this, they are a highly sought-after technology for both civilian as well as military use. Recent years have seen a fast evolution in UAV capabilities and functions, and their widespread use in both the military and civilian sectors as a consequence of technological advancements in robotic systems like processors, sensors, and communications. Costs for the development and maintenance of UAVs are falling as technology advances. The employment of a single big UAV is being phased out in favor of many UAVs working together in teams to accomplish higher-level objectives. Because of the great mobility of UAVs in a fleet, new networking models must be developed that can be deployed on these mobile nodes. Any two nodes in the communication range of such networking models may connect directly, or indirectly via a no. of relay nodes, such as UAVs. Establishing an ad-hoc network between flying UAVs is a difficult task, and the requirements might vary from those of conventional networks, MANETs, including VANETs in terms of node mobility, connection, message routing, service quality, wide applications, & so on.