Abstract
The performance of routing protocol in Vehicular ad-hoc network (VANET) depends on value of parameters used in. Being very large combination of these values, it is difficult to find an optimal combination for better QoS in VANET. Therefore, we have proposed an algorithm based on Particle Swarm Optimization (PSO) to find an optimal combination in Ad-hoc on demand multipath distance vector routing (AOMDV) in real scenario. The experimental results show 80.65% drop in Average End-to-End delay (AE2ED), 37.07% drop in Network Routing Load (NRL) and slight drop (1.96%) in Packet Delivery Ratio (PDR) using optimal combination of value of parameters.
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.
