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Reseach Article

Methodological Analysis of Inter VANET Data Handovers with Metaheuristic Algorithms

by Pravin Wararkar, S.S. Dorle
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Number 12
Year of Publication: 2015
Authors: Pravin Wararkar, S.S. Dorle
10.5120/ijca2015907133

Pravin Wararkar, S.S. Dorle . Methodological Analysis of Inter VANET Data Handovers with Metaheuristic Algorithms. International Journal of Computer Applications. 130, 12 ( November 2015), 16-20. DOI=10.5120/ijca2015907133

@article{ 10.5120/ijca2015907133,
author = { Pravin Wararkar, S.S. Dorle },
title = { Methodological Analysis of Inter VANET Data Handovers with Metaheuristic Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 130 },
number = { 12 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume130/number12/23261-2015907133/ },
doi = { 10.5120/ijca2015907133 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:26:00.330698+05:30
%A Pravin Wararkar
%A S.S. Dorle
%T Methodological Analysis of Inter VANET Data Handovers with Metaheuristic Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 12
%P 16-20
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

When Vehicles communicating among themselves, and communicating to devices located in the margins of roads and highways form Vehicular Ad hoc Networks (VANETs) that are a suitable type of Mobile Ad hoc Networks (MANETs). VANET can go upto a high speed of network nodes that can go up to 200 km/h, and which impacts directly on the capability the network has to deliver data, we can have a network formed for a small amount of time. Ant-based routing can be successfully incorporated to both wireless and wired networks as it has been checked it various tests. This work set ups to propose Ant Colony Optimization (ACO) methodologies that take advantage of information available in vehicular networks such as the vehicles’ position and speed, in order to design an ant-based algorithm that performs well in the dynamics of such networks and adapts to the conditions appropriately.

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Index Terms

Computer Science
Information Sciences

Keywords

VANET MANET ACO.