UMP Institutional Repository

An Efficient Route Selection based on AODV Algorithm for VANET

Kadhim, Nassir and Mohammed, Muamer N. and Mazlina, Abdul Majid and Mohamd, Sinan Q. and Tao, Hai (2016) An Efficient Route Selection based on AODV Algorithm for VANET. Indian Journal of Science and Technology, 9 (38). pp. 1-6. ISSN 0974-6846 (Print); 0974-5645 (Online)

[img]
Preview
PDF
97778-219714-1-PB.pdf
Available under License Creative Commons Attribution.

Download (594kB) | Preview

Abstract

Road safety is an all-time global concern. Every day a large number of human lives are lost with many sustaining a disability as a result of their injury due to car accidents and delay in calling the rescue services. Recently, Intelligent Transportation Systems (ITS) have emerged as an efficient way of improving interpretation of transportation systems and enhancing travel safety. Accident detection systems are one of the most effective (ITS) tools. The accident detection system which based on Global Positioning System (GPS) and Global System for Mobile communication (GSM) can be accomplished though one or several sensors, the system can gather the information and coordinates of accident spot, then send this data to the rescue services center over a network link in the shortest time, In this paper, we propose an enhanced system that composed of a GPS receiver, Vibration sensor, GSM Modem and integrated with Vehicular AD-Hoc Network (VANET). The employment of (VANET) assists to increase the data delivery by providing a second path to send an emergency message to The Rescue Services Center (RSC) whenever an accident located at out of coverage area of GSM network. Simulation tested two of distance ranges among nodes (Long & Short) and the result shown that VANET modified algorithm based on average signal strength has the advantage of choosing the optimum route to deliver data and own enhanced ratio according to the distances (17.5% & 24.1%) by comparing with a maximum signal strength route.

Item Type: Article
Uncontrolled Keywords: AODV, Global Positioning System, Global System for Mobile, VANET
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
Faculty/Division: Centre of Excellence: IBM Centre of Excellence
Faculty of Computer System And Software Engineering
Depositing User: PM Dr. Ahmed N Abd Alla
Date Deposited: 28 Feb 2017 07:25
Last Modified: 20 Mar 2018 07:53
URI: http://umpir.ump.edu.my/id/eprint/16876
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item