Flying Ad Hoc Network Framework using Fuzzy Inference System for Efficient Routing

In the development of technology, network communication plays the important role to transfer data from every area, unmanned aerial vehicles (UAVs) is enhanced system for retrieving the data and provide real time communication from emergency situation or from remote areas. Multiple UAVs node form the flying ad hoc network where each UAVs capable to take decision to provide route from source to receiver in dynamic environment. Due to energy and high mobility of UAVs node rapid change the topology which increases the high average number of utilization and provide low network link connectivity. Those problem analyze by various existing technique out of those technique, we found that fuzzy reinforce technique is better perform with respect to number of hop uses during communication and link connectivity. In this paper use the same fuzzy logic system but take new input factor for fuzzy system development and fuzzy rule designing. The new factor is energy which is more important for route decision because without energy analysis cannot identify reliable path. In this paper take the three factor energy, stability rating and delay for fuzzy rule designing. From the analysis we found that proposed system is more reliable in terms of link connectivity, low number of hop involvement, percentage of data receiving, throughput, delay etc. The analysis are done through the network simulator -2 which simulate two environment fifty and hundred node scenarios.