A Comparative Analysis of OLSR Routing Protocol based on PSO and Cuckoo Search Optimization (CSO) in Manets

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Published: Aug 18, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i8s.7229
Keywords:
Wireless communication, Mobile networks, Mobile Ad hoc Networks (MANETs), Optimized Link State Routing (OLSR), Particle Swarm Optimization (PSO), Cuckoo Search Optimization (CSO), NS-2 simulator, Network Animation (NAM)

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Udaya Kumar Addanki
Research Scholar, Department of CSE, Acharya Nagarjuna University, Guntur, A.P., India
B. Hemantha Kumar
Professor, Department of IT, RVR & JC College of Engineering, Guntur, A.P., India

Abstract

New developments in wireless communication have enabled the use of highly efficient and inexpensive wireless receivers in a variety of portable applications. Each node in a mobile network is a mobile device that independently organizes its own connection to the others and manages its own data transmissions. The adaptability, scalability, and cost reduction of mobile networks have attracted considerable attention. Because mobile networks are constantly changing, problems with routing and power usage are common. High error rates, energy limitations, and inadequate bandwidth are just a few of the issues plaguing mobile ad hoc networks. The relevance of routing protocols in dynamic multi-hop networks like Mobile Ad hoc Networks (MANET) has drawn the attention of many scholars. In this paper, we focus on  implementing an OLSR(Optimised Link State  Routing) protocol and evaluates its performance using two optmisation algorithm: Particle Swarm Optimization(OLSR) and Cuckoo Search Optimization (CSO). The simulation result suggests that PSO is superior to both CSO and the conventional OLSR routing technique. We implemented using NS-2 simulator for simulation and NAM for network animation.

Article Details

How to Cite
Addanki, U. K. ., & Kumar, B. H. . (2023). A Comparative Analysis of OLSR Routing Protocol based on PSO and Cuckoo Search Optimization (CSO) in Manets. International Journal on Recent and Innovation Trends in Computing and Communication, 11(8s), 483–490. https://doi.org/10.17762/ijritcc.v11i8s.7229
Issue
Vol. 11 No. 8s (2023)
Section
Articles

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