Abstract
This paper represents a genetic algorithmic approach to the congestion aware routing problem in Mobile Ad hoc Networks. Variable-length chromosomes (strings) and their genes (parameters) are the sources for encoding the problem. The crossover operation exchanges partial chromosomes (partial routes) and the mutation operation maintains the genetic diversity of the population. The proposed congestion aware routing fitness function algorithm is capable of curing all the infeasible chromosomes with an adaptive repair function. The congestion aware fitness function gives an improved quality of solution and enhanced rate of convergence. The performance metrics throughput, packet delivery ratio and delay are taken into account for computer simulations which shows the proposed algorithm exhibits a much better quality of solution (congestion aware routing) and a much higher rate of convergence than other conventional algorithms in mobile ad hoc networks.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
