Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678636
Title: Adaptive data transfer for dedicated short range communications (DSRC)-based vehicle networks
Author: Nwizege, Kenneth Sorle
ISNI:       0000 0004 5370 5194
Awarding Body: Swansea University
Current Institution: Swansea University
Date of Award: 2014
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Abstract:
Vehicular communications occur when two or more vehicles come into range with one another, to share data over wireless media. Its applications are far-reaching, from toll collection to collision avoidance. Rate Adaptation Algorithms (RAAs) in IEEE 802.11 wireless networks maximize throughput by selecting their t ransmission rates among the multiple available' transmission rates based on the time-varying and location-dependent wireless channel conditions. In this thesis, a detailed study is made' on Adaptive Context-Aware Rate Selection (ACARS) algorithm that is efficient for data transfers, improving energy utilization, and also suitable for road safety applications. The goal of ACARS is to implement a RAA th a t can reliably estimate Signal-t-o-Noise-Ratio (SNR) to the Physical (PHY) layer by the integration transmission power, and Access Point (AP) coordination into its design. One of the major challenges of deploying mobile nodes in wireless networks is the power management. ACARS is able to minimize the total transmission power in the presence of propagation phenomena and mobility of vehicles, by rapid estimation of SNR to the PHY layer. Regarding safety applications in vehicular communications, RAAs need to minimize delay. ACARS minimizes the delay by using optimum data rates which reduces tin' network load in order to meet the application requirements. Simulation results confirm that the airtime (delay) as one of the key factors for safety applications is within the range of 100 ms recommended by the Institute of Electrical and Electronic Engineers (IEEE) standard for vehicle safety applications.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.678636  DOI: Not available
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