Investigating the Impact of Selfish Node on AODV Routing Protocol in MANETs in the Context of Simulation Time

  IJCOT-book-cover
 
International Journal of Computer & Organization Trends  (IJCOT)          
 
© 2015 by IJCOT Journal
Volume - 5 Issue - 3
Year of Publication : 2015
Authors :  P.V.Venkateswara Rao, S. Pallam Shetty
DOI : 10.14445/22492593/IJCOT-V21P303

Citation

P.V.Venkateswara Rao, S. Pallam Shetty"Investigating the Impact of Selfish Node on AODV Routing Protocol in MANETs in the Context of Simulation Time", International Journal of Computer & organization Trends (IJCOT), V5(3):26-29 May - Jun 2015, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.

Abstract Mobile Ad hoc networks (MANETs) are a set of wireless mobile nodes which dynamically connect and transfer information. The open and dynamic operational environment of MANETs makes it vulnerable to various attacks. In this paper, an attempt has been made to investigate the impact of selfish node on the performance of AODV routing protocol by varying simulation time through OPNET Modeler version 17.5. Experimental results reveal that by varying simulation time, the performance of routing protocol without selfish node also varies, to obtain the steady state behaviour of a routing protocol the selection of simulation time plays a vital role. The minimum value to obtain the steady state behaviour through results is observed as 1500 sec. The impact of selfish node on performance of the throughput degrades by 40 times of the original AODV throughput. Similarly, the delay is reduced by more than 1000 times. The impact of the simulation time on the performance of the variance in throughput of AODV routing protocol with and without the selfish node is 2532 and 98 and delay in variance is 0.00012 and 0.00000376 sec.

References

[1] AD HOC NETWORKS Technologies and Protocols Edited by PRASANT MOHAPATRA University of California‚ Davis SRIKANTH V. KRISHNAMURTHY University of California‚ Riverside – Springer Textbook
[2] C. Perkins, E. Belding-Rover an S. Das, “RFC-3561: Ad Hoc OnDemand Distance Vector (AODV) Routing”. Available at: www.ietf.org/ref/ref3561.txt, July 2003.
[3] Abdur Rashid Sangi, Zhiping Liu and Jianwei Liu, “Route Information Poisoning in MANETs: Analysis and Defenses”. In Proceedings of 4th
IEEE IITA, November 2010, Qinghuangdao, China [4] Mohammed Saeed Alkatheiri and et. al. 2011 IEEE 978-1- 61284-307-0/11 pg. 614-618 .
[5] C Sreedhar, Varun Varma Sangaraju, “A Survey on security issues in routing in MANETS” International Journal of Computer & Organization Trends (IJCOT) ISSN:2249-2593 Volume 3 Issue 9-oct 2013.
[6] Shailender Gupta, C. K. Nagpal and Charu Singla, Impact of Selfish Node Concentration in Manets, International Journal of Wireless & Mobile Networks (IJWMN) Vol. 3, No. 2, April
[7] S. Marti, T. J. Giuli, K. Lai, M. Baker, “Mitigating Routing Misbehavior in Mobile Ad Hoc Networks,” Proc. of MobiCom 2000, Boston, August 2000.
[8] Mr. Amir Khusru Akhtar & G. Sahoo Mathematical Model for the Detection of Selfish Nodes in MANETs, International Journal of Computer Science and Informatics (IJCSI) ISSN (PRINT): 2231 –5292, Volume-1, Issue-3
[9] P. Saravanan and S.Chitra, “Selfish Nodes in MANET: Impact on Security and QoS,” International Journal of Computer Applications(IJCA) Volume 66– No.1, March 2013.
[10] Dr. S.P Setty and B. Prasad " Comparative Study of Energy Aware QoS for Proactive and Reactive Routing Protocols for Mobile Ad-hoc Networks" International Journal of Computer Applications (0975 – 8887) Volume 31– No.5, October 2011.
[11] Dr. S.P. Setty et. al., “PERFORMANCE EVALUATION OF AODV IN DIFFERENT ENVIRONMENTS”, International Journal of Engineering Science and Technology Vol. 2(7), 2010, 2976-2981.
[12] Venkataramana Attada and S. Pallam Setty " Cross Layer Design Approach to Enhance the Quality of Service in Mobile Ad Hoc Networks" Wireless Pers Commun DOI 10.1007/s11277-015-2609-6 Springer Science+Business Media New York 2015

Keywords
MANETs, Selfish Node, AODV, OPNET Modeler, throughput, delay, Simulation time.