Neuro Fuzzy Controllers Based Multipath Routing Technique in Mobile Adhoc Networks (MANETs)
V.Rajesh Kannan1, A.Charles2
1V.Rajesh Kannan*, Assistant Professor, Department of Electronics and Communication Engineering, Government College of Engineering, Bargur, Tamilnadu, India.
2Dr.A.Charles, Assistant Professor, Department of Electronics and Communication Engineering, Government College of Engineering, Bargur, Tamilnadu, India.
Manuscript received on 8 August 2019. | Revised Manuscript received on 16 August 2019. | Manuscript published on 30 September 2019. | PP: 2123-2127 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4562098319/19©BEIESP | DOI: 10.35940/ijrte.C4562.098319
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Mobile ad hoc networks (MANETs) comprise a set of wireless mobile nodes that communicates data between them with no infrastructure. The nature of restricted communication range of wireless network nodes leads to the requirement of multi-hops to communicate data in the network. Multipath routing discovers many routes among an individual source and destination. MANET possesses a network that has a tendency to change its structure frequently; hence the task of accomplishing a prescribed number of pathways between a prescribed source and destination nodes appears to be tedious. A new Neuro fuzzy oriented routing algorithm in MANET (NFRA) has been proposed in this work. The ultimate objective of the NFRA algorithm is to suitably create the fuzzy type controllers with the aim of minimizing the quantity of reconstructions in the wireless ad hoc network. The obtained simulation results have been found to portray both the efficiency and effectiveness of the applications incorporated into the Mobile ad hoc networks.
Keywords: MANET,Neuro-fuzzy, Routing, Communication.
Scope of the Article: Fuzzy Logics