Open AccessA Novel Approach to Comparative Analysis of Legacy and Nature Inspired Ant Colony Optimization based Routing Protocol in MANET
Author(s) -
Ibrahim Alameri
Publication year - 2019
Publication title -
xi'nan jiaotong daxue xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 21
ISSN - 0258-2724
DOI - 10.35741/issn.0258-2724.54.4.18
Subject(s) - computer science , computer network , mobile ad hoc network , wireless routing protocol , distributed computing , routing protocol , link state routing protocol , optimized link state routing protocol , dynamic source routing , adaptive quality of service multi hop routing , ant colony optimization algorithms , scalability , routing (electronic design automation) , artificial intelligence , network packet , database
Performance, scalability, Quality of Service (QoS), users’ response, etc. of any network depends upon the efficient network design and communication technologies being exploited. Mobile Ad hoc Networks (MANETs) have become widespread due to their zero-configuration requirements, scalability, maintenance and adaptable nature to cater varying requirements. The core process of any network is routing which is performed by routing protocols. Routing protocols play a crucial role to enhance and improve the performance indicators of any network. Traditional MANET routing protocols have been failed to address growing demands of wireless mobile ad hoc network. In this paper we study and compare a nature inspired Ant Colony Optimization (ACO) algorithm with legacy of MANET protocols. Simulation results show that ACO algorithm has high potential to be used in large scale MANET or other wireless networks. We compared ACO with proactive and reactive routing protocols because despite of their weaknesses these types of protocols are still being used in different and same wireless arrangements.