A Hybrid Traffic Management Using Multi-Agent Clustering in Vehicular Ad-hoc Network Based Urban Environment

Vehicle Ad-hoc Networks (VANETs) are hugely developed to manage the increased demand of the passenger transportation which leads to the increase of delay and traffic congestion. To attain effective communication among these high-speed vehicles in an urban environment it becomes very essential to decrease the data latency power utilization among the vehicles. For that purpose, in this paper Hybrid Traffic Management using Multi-Agent Clustering (HTM-MCVU) is proposed. It mainly focuses on vehicles construction, TDMA/CSMA based traffic management and Trust and weight-based clustering. Through these methods the confidential information is transmitted in the path without attaining maximum latency leads to communicate with huge data in an effective manner. Energy consumption is also reduced at each instant of transmission times as the results this method becomes highly suitable for the urban environment. The simulation demonstration of HTM-MCVU is conducted in the software called Network Simulator (NS2) and the output metrics considered for the results are packet delivery ratio, end-to-end delay, routing overhead, and energy efficiency where it gets compared with the baseline works namely NTPM-ITS and VCTD-CLV. From the comparative analysis it is observed that the HTM-MCVU attained around 6% higher delivery rate and 20% higher energy efficiency at the time of evaluation.