Fuzzy Based Routing Information Protocol (Rip) To Enhance the Performance in Mobile Ad Hoc Networks
P. Srinivasa Rao1, S. Pallam Shetty2

1P. Srinivasa Rao, Research Scholar, Department of Computer Science & System Engineering, Andhra University, Visakhapatnam (A.P), India.
2Dr. S. Pallam Shetty, Professor, Department of Computer Science & System Engineering , Andhra University, Visakhapatnam (A.P), India.
Manuscript received on 14 August 2017 | Revised Manuscript received on 20 August 2017 | Manuscript Published on 30 August 2017 | PP: 29-35 | Volume-6 Issue-12, August 2017 | Retrieval Number: L24600861217/17©BEIESP
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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: MANET has wide application in communication of data. MANET is defined as self-configuring ad hoc network model mobile nodes. Routing in network layer protocol it is discovers the best available path from source to destination. The performance of MANET routing protocol is evaluated different QOS parameters such as throughput, end-to-end delay, load etc. an attempt has been made to compare the performance of Fuzzy logic based RIP with traditional RIP using OPNET simulator. The simulation are carried out by varying update timer counter interval time dynamically calculating the timer values by using Fuzzy logic. In the Fuzzy base RIP outperforms for small network when compare with traditional RIP. The FLBUDTCRIP has the better performance than RIP in small network sizes. The throughput was enhanced by 2.25%, Traffic sent was enhanced by 5.39% , Traffic received was enhanced by 5.18%. The performance comparision of RIP and FLBUDTCRIP for medium size networks in terms of performance metrics throughput, Average end-to-end delay, Load, Traffic sent, Traffic received . The end-to-end delay was reduced by 0.25% , load was reduced by 0.6%.The performance comparison of RIP and FLBUDTCRIP for Large size networks in terms of performance metrics throughput, Average end-to-end delay , Load, Traffic sent, Traffic received. The end-to-end delay was reduced by 0.76% , load was reduced by 1.278%,Traffic sent was enhanced by 1.68%.The FLBUDTCRIP not suitable for large network sizes.
Keywords: RIP, FLBUDTC, Fuzzy System, Update Timer Counter Interval Time, Throughput, Delay, Load .

Scope of the Article: Fuzzy Logics