Modified Ant Colony Optimization (ACO) Algorithm for Routing in Vehicular Adhoc Networks
C Anbu Ananth1, Koppisetti Giridhar2
1Dr. C Anbu Ananth, Associate Professor in Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamilnadu, India.
2Koppisetti Giridhar, Assistant Professor in Department of Computer Science and Engineering, Sasi Institute of Technology and Engineering, Tadepalligudem, West Godavari dt., A.P, India.
Manuscript received on 20 August 2019. | Revised Manuscript received on 01 September 2019. | Manuscript published on 30 September 2019. | PP: 720-724 | Volume-8 Issue-11, September 2019. | Retrieval Number: K14240981119/2019©BEIESP | DOI: 10.35940/ijitee.K1424.0981119
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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 Ad hoc Network (VANET) is divided as Mobile Ad-hoc Networks (MANETs) application which comprises the capability to offer Intelligent Transportation System (ITS) and to enhance road safety. VANET has many difficulties that various from instability problem that gives higher topological change and higher energy utilization with many advantages. The main aim to construct a route optimal path technique is to reduce the probability of linkage failure and decrease the node energy utilization within the network. ACO heuristic for vehicle routing is proposed in this paper. In this method mobility prediction is employed for stability of network and to reduce the utilized energy two-tier mechanism is employed by Location Aided Routing (LAR) protocol. The simulation outcomes in Network simulator 2 of the proposed method enhanced the node energy utilization within the network and it takes lower energy.
Keywords: VANET; Routing; Energy utilization; Mobility prediction; Intelligent Transportation System.
Scope of the Article: