Co-operative Cluster based Multi-Agent Approach for Efficient Traffic Forecasting and Management in VANET
V. Gokula Krishnan1, N. Sankar Ram2
1V. Gokula Krishnan, Research Scholar, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Jeppiaar Nagar, Chennai (Tamil Nadu), India.
2Dr. N. Sankar Ram, Professor, Department of Computer Science and Engineering, Sri Ram Engineering College, Perumalpattu, Chennai (Tamil Nadu), India.
Manuscript received on 05 May 2019 | Revised Manuscript received on 12 May 2019 | Manuscript published on 30 May 2019 | PP: 683-689 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5569058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Vehicular Adhoc Network (VANET) is a kind of advanced MANET specially designed for vehicular communication. Routing in dynamic environment is difficult therefore Multi agent based cooperative routing in dynamic vehicular technology is proposed. The objective of this work is to determine effective routing by utilizing the information provided by the intelligent multi agent systems. A Co-operative Cluster based Multi-Agent Approach (CCMAA) for intelligent routing protocol is proposed for better results since implementing traffic forecasting and efficient routing in dynamically changing environment is a challenging task. The multi agent system includes mobile agent, static agent, service agent and this agent are used for optimal communication and reduces network traffic. The performance evaluation is done using the simulation tool Network Simulator (NS2) tool. Packet delivery rate, delay and throughput are the performance metrics used to evaluate the proposed protocol.
Keyword: Intelligent Vehicles, Multi Agent Technique, Co-Operative Routing, Traffic Forecasting.
Scope of the Article: Routing and Transport Protocols