Smart routing for Vehicle at optimal position with Ant Colony Optimization and AQRV in VANET

Prakash, J. and Sengottaiyan, N. and Nandhini, S. Hamsa (2018) Smart routing for Vehicle at optimal position with Ant Colony Optimization and AQRV in VANET. EAI Endorsed Transactions on Energy Web, 5 (20): e10. p. 155566. ISSN 2032-944X

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Abstract

The Coimbatore is one of the leading tier two cities in India. Vehicles in this city are increasing day by day. The VANET is a self-organizing network between vehicles. There are so many interesting issues in VANET. So many routing protocols are already availing in the market. In this paper, we put forward an adaptive quality of service (QoS) based smart routing for VANETs with ant colony optimization algorithm find a smart route in Coimbatore city. This smart routing protocol is to adaptively choose the connections in the various available nodes, through which data packets clearance to reach the destination. The selected smart route should fulfill with the QoS constraints and satisfy the best QoS in terms of three metrics, namely connectivity, probability, packet delivery ratio and delay. The AQRV and Ant colony algorithm was simulated. The comparative result was studied at various optimal positions in the city.

Item Type: Article
Uncontrolled Keywords: Smart route, RSR, Best route, Local QoS Models (LQM) of A Road Segment
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 22 Sep 2020 13:51
Last Modified: 22 Sep 2020 13:51
URI: https://eprints.eudl.eu/id/eprint/551

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