Efficient data harvesting for inelastic traffic in vehicular sensor networks

Ridha Ouni; Mohammad Zuheir Hourani; Nasir Hussain

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Efficient data harvesting for inelastic traffic in vehicular sensor networks

Author(s)

Ridha Ouni Department of Computer Engineering, CCIS, King Saud University, P.O.Box 51178, Riyadh 11543, Saudi Arabia

Mohammad Zuheir Hourani Department of Computer Engineering, CCIS, King Saud University, P.O.Box 51178, Riyadh 11543, Saudi Arabia

Nasir Hussain Department of Computer Engineering, CCIS, King Saud University, P.O.Box 51178, Riyadh 11543, Saudi Arabia

Abstract

The basic idea behind intelligent transportation system (ITS) is how to deploy vehicular sensor network that have many characteristic such as high computation power, enough storage space and mobile sensor node in order to design an effective and efficient architecture for data collection and data exchange. In this paper we will introduce an intelligent transportation system with new network paradigm to collect important information from the road environment based on the vehicular sensor network (VSN). Data aggregate provides the end users with valuable information in order to make the road safer and less congested. Our system framework consists of active vehicular sensor node, passive vehicular sensor node and sink node distributed according to the road segmentation for collecting data from active vehicular sensor node passing by, while active vehicular sensor node collects data from passive vehicular sensor node in their segment using multihop data harvesting. Finally, the simulation shows the effectiveness of the proposed schema.

Publication Details

Page(s) 13-19

DOI DOI not available

Published Journal: Science International, Volume: 24, Issue: 1, Year: 2012

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