Fuzzy Logic Based Raodv Routing Protocol
K Santhi1, K Thinakaran2
1Santhi K, Associate Professor, Department of Computer Science and Engineering, Sreenivasa Institute of Technology and Management Studies, Chittoor, India
2Second Author Name, Associate Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Chennai, India. 

Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 7919-7921 | Volume-8 Issue-4, November 2019. | Retrieval Number: C4163098319/2019©BEIESP | DOI: 10.35940/ijrte.C4163.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Fuzzy Logic system comes as a very efficient and important tool that is used to make intelligent decisions when inadequate data is available. This research work is focused on the enhancement of Fuzzy based RAODV routing protocol. It is very efficient to select the optimal paths for data packet transmission between source and desitnation node and also increse the network life time. Fuzzy Logic control is generally designed on three fuzzy variables of energy, hop count and queue length which is also enhance the rule of Fuzzy logic to improve the lifetime of the network. Optimal paths are traced and selected which is depends on these fuzzy variables, used to improvise and enhance the process of Reverse Ad hoc on Demand Distance Vector (RAODV) routing protocol and also helpful to improve the lifetime of the network. NS2 Simulator are used to analyze the concert of RAODV and Fuzzy based Reverse Ad hoc on demand Distance Vector (FRAODV) routing protocol which is based on packet size and round time of network using the parameters of Packet delivery ratio, energy consumption and end to end delay , performance results shows that FRAODV is more accomplished and improves the lifetime of the network.
Keywords: Energy , Fuzzy based Reverse Ad hoc On demand Distance Vector (FRAODV), Fuzzy logic, Reverse Ad hoc On demand Distance Vector (RAODV)..
Scope of the Article: Fuzzy logic.