Open Access
Subscription Access
Spider Monkey Optimization Implementation on MANET
Abstract
Spider Monkey Optimization is a new swarm intelligence is a based on Spider Monkeys. It is population based but more of arbitrary meta-heuristic. It is well balanced permanently probation and ontogenesis most of the time. Routing is a method through which knowledge is distributed from sending node to receiving node. Mapping offers the link between two or more extra human activity nodes in network. During this job we lean to introduce a routing protocol galvanized by New World monkey optimization. The routing is designed on NS2. Keywords: Mobile networks, nature inspired Spider Monkey Algorithm, NS2.
Keywords
References
Kaur, Amandeep, and Aashdeep Singh. "A Review on Ant Based Routing Protocols for Manet." International Journal 5.3 (2015).
R.T.Thivya Lakshmi, R.Srinivasan, G.S.Raj. “An Efficient Algorithm for Improving Qos in MANETs ”.
Kamaldeep Kaur, Lokesh Pawa. Review of Various Optimization techniques in MANET Routing Protocols
Alam, Mehtab, Asif Hameed Khan, and Ihtiram Raza Khan. "Swarm Intelligence in MANETs: A Survey."
Bee Optimization to Enhance Quality of Services in MANET.
Jaladi, Swapna Priya. "Ant Colony Optimization Based Routing to Improve QoS in MANET.
S. S. Sofat, A. K. Gupta, Ant Colony Based Dynamic Source Routing”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 10, Pages 721-728, 2013.
Elizabeth Belding-Royer, Ian Chakeres, David Johnson, and Charlie Perkins. DYMO dynamic MANET on-demand routing protocol. In Rebecca Bunch, editor, Proceedings of the Sixty-First Internet Engineering Task Force, 2004.
Chakeres and C. Perkins, Dynamic MANET Ondemand (DYMO) Routing draft-ietf-manetdymo-17” Internet Engineering Task Force, [Online]. Available: http: tools.ietf.org/html/draft-ietf-manet-dymo-17, 2009.
Martins, J. A. P., Correia, S. L. O., and Celestino, J. (2010, April). Ant-DYMO: A bio-inspired algorithm for MANETs. In Telecommunications (ICT), 2010 IEEE 17th International Conference on (pp. 748-754). IEEE.
R. Asokan, A.M. Natarajan and C. Venkatesh, Ant based Dynamic Source Routing Protocol to Support Multiple Quality of Service (QoS) Metrics in Mobile Ad-Hoc Networks”, in International Journal of Computer Science and Security, Vol. 2, No. 3, pp 48-56, 2008.
Anuj K. Gupta, Jatinder Kaur, Sandeep Kaur, Comparison of DYMO, AODV, DSR and DSDV MANET Routing Protocols Over Varying Traffic”. IJREAS Volume 1, Issue 2, October, 2011.
A.K. Gupta, H. Sadawarti, A. K. Verma, MANET Routing Protocols Based on Ant Colony Optimization”, International Journal of Modeling and Optimization, Volume 2, Issue 1, pages 42-49, 2012.
A.K. Gupta, H. Sadawarti, and A. K. Verma, ”Performance analysis of AODV, DSR and TORA routing protocols,” IACSIT International Journal of Engineering and Technology, vol. 2, pp. 226-231, 2010.
Sucheta Sharma, Gurpreet Singh, Amanpreet Kaur, Study Based Comparison of Multi-Path Routing Protocols in MANETs”, In the proceedings 2nd International Conference on Futuristic Trends in Engineering and Management 2014 (ICFTEM-2014)” and In Online Journal International Journal of Computer Science and Communication (ISSN: 0973-7391), pages 191-196, 3-4, May 2014
Trapti Jain and Savita Shiwani, Analysis of OLSR, DSR, DYMO Routing Protocols in Mobile Ad-Hoc Networks using Omnet++ Simulation, Global Journal of Computer Science and Technology: E Network, Web and Security Volume 14 Issue 1 Version 1.0 Year 2014
Saurabh Sharma, Manjit Singh, Gurpreet Singh, Realistic inspection of proposed Ant algorithm with Antnet algorithm using NS- 2”, International Journal of Research in IT, Management and Engineering, Volume 2, Issue 6, pp 146-156, June 2012.
DOI: https://doi.org/10.37591/ctit.v11i3.826
Refbacks
- There are currently no refbacks.
Copyright (c) 2022 Current Trends in Information Technology
- eISSN: 2249-4707
- ISSN: 2348-7895