Research Article | OPEN ACCESS
Reliability Calculation of VANET with RSU and SP
1P. Uma Maheswari and 2M. Rajeswari
1Department of CSE, Info Institute of Engineering, Coimbatore
2Department of CSE, Angel College of Engineering and Technology-Tiruppur, India
Research Journal of Applied Sciences, Engineering and Technology 2014 13:1607-1612
Received: July 18, 2014 | Accepted: September 13, 2014 | Published: October 05, 2014
Abstract
VANET is a special type of MANET which consists of moving vehicles as nodes that form a temporary network in an Adhoc fashion. In recent years, many protocols and techniques are available to share the traffic information in VANET. This study focuses on forwarding the road safety information from source vehicle to destination vehicle with RSU (Road Side Unit) and SP (Service Provider). RSU and SP are made to transmit the information to ongoing vehicles without missing the clarity and reliability. The main objective of this study is to find the reliable path from the source vehicle to destination vehicle to transmit the traffic information. Universal Generating Function Technique (UGFT) is one of the important techniques to assess the network reliability in real life. UFGT is applied to find the reliability of nodes and links used in this VANET. Results are obtained by using Network Simulator (NS-2). Simulation results show that information dissemination with RSU and SP outperforms without RSU and SP in terms of Delay, Throughput and Packet loss.
Keywords:
RSU , SP, UGFT, VANET,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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The authors have no competing interests.
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ISSN (Online): 2040-7467
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