An Adaptive Routing in Flying Ad-Hoc Networks using FMCC Protocol
B. Mahalakshmi1, S. Ranjitha Kumari2
1B. Mahalakshmi, Research Scholar, School of Computer Studies, Rathnavel Subramaniam College of Arts and Science, Sulur, Coimbatore.
2Dr. S. Ranjitha Kumari, Associate Professor, School of Computer Studies, Rathnavel Subramaniam College of Arts and Science, Sulur, Coimbatore.

Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 2473-2480 | Volume-8 Issue-5, January 2020. | Retrieval Number: E5782018520/2020©BEIESP | DOI: 10.35940/ijrte.E5782.018520

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Abstract: The increasing need for portable and flexible communication has paves a way for network evolution amongst unmanned aerial vehicles (UAVs) which is known as FANETs. Moreover, owing to its exclusive features of UAVs like frequency topology, high mobility and 3D movement makes routing most confronting task in FANETs. With these features, designing novel clustering model is quite complex. In general, topology based routing is determined as significant factor for resolving routing crisis. Henceforth, this investigation specifically spotlights on topology based routing protocol termed as Fuzzy based Markov chain Cluster (FMCC) with an objective of enhancing efficiency of networks in terms of resource utilization, time delay, transmission ratio and resource availability. Initially, consider a network model and the problems related in constructing a network without loss of packet transmission, neighbourhood construction and so on. In this work, simulation is done in NS-2 simulator and outcomes are analyzed based on end-to-end delay, throughput, cluster formation, cluster lifetime and so on. This method depicts better trade off in contrast to prevailing techniques. The information associated with the information exchange is considered for renovating the work effectually.
Keywords: FANET, Clustering, Network Lifetime, Fuzzy Based Markov Chain Clustering, Throughput.
Scope of the Article: Fuzzy logics.