Analytical Framework for End-to-End Delay Based on Unidirectional Highway Scenario

In a sparse vehicular ad hoc network, a vehicle normally employs a carry and forward approach, where it holds the message it wants to transmit until the vehicle meets other vehicles or roadside units. A number of analyses in the literature have been done to investigate the time delay when packets ar...

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Main Authors: Aslinda Hassan, Mohamed H. Ahmed, M. A. Rahman
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/425186
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spelling doaj-01dff8d3f7c740cbb7b3840921f8deb42020-11-24T23:09:43ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/425186425186Analytical Framework for End-to-End Delay Based on Unidirectional Highway ScenarioAslinda Hassan0Mohamed H. Ahmed1M. A. Rahman2Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, MalaysiaFaculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL, A1B 3X5, CanadaFaculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL, A1B 3X5, CanadaIn a sparse vehicular ad hoc network, a vehicle normally employs a carry and forward approach, where it holds the message it wants to transmit until the vehicle meets other vehicles or roadside units. A number of analyses in the literature have been done to investigate the time delay when packets are being carried by vehicles on both unidirectional and bidirectional highways. However, these analyses are focusing on the delay between either two disconnected vehicles or two disconnected vehicle clusters. Furthermore, majority of the analyses only concentrate on the expected value of the end-to-end delay when the carry and forward approach is used. Using regression analysis, we establish the distribution model for the time delay between two disconnected vehicle clusters as an exponential distribution. Consequently, a distribution is newly derived to represent the number of clusters on a highway using a vehicular traffic model. From there, we are able to formulate end-to-end delay model which extends the time delay model for two disconnected vehicle clusters to multiple disconnected clusters on a unidirectional highway. The analytical results obtained from the analytical model are then validated through simulation results.http://dx.doi.org/10.1155/2015/425186
collection DOAJ
language English
format Article
sources DOAJ
author Aslinda Hassan
Mohamed H. Ahmed
M. A. Rahman
spellingShingle Aslinda Hassan
Mohamed H. Ahmed
M. A. Rahman
Analytical Framework for End-to-End Delay Based on Unidirectional Highway Scenario
Mathematical Problems in Engineering
author_facet Aslinda Hassan
Mohamed H. Ahmed
M. A. Rahman
author_sort Aslinda Hassan
title Analytical Framework for End-to-End Delay Based on Unidirectional Highway Scenario
title_short Analytical Framework for End-to-End Delay Based on Unidirectional Highway Scenario
title_full Analytical Framework for End-to-End Delay Based on Unidirectional Highway Scenario
title_fullStr Analytical Framework for End-to-End Delay Based on Unidirectional Highway Scenario
title_full_unstemmed Analytical Framework for End-to-End Delay Based on Unidirectional Highway Scenario
title_sort analytical framework for end-to-end delay based on unidirectional highway scenario
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2015-01-01
description In a sparse vehicular ad hoc network, a vehicle normally employs a carry and forward approach, where it holds the message it wants to transmit until the vehicle meets other vehicles or roadside units. A number of analyses in the literature have been done to investigate the time delay when packets are being carried by vehicles on both unidirectional and bidirectional highways. However, these analyses are focusing on the delay between either two disconnected vehicles or two disconnected vehicle clusters. Furthermore, majority of the analyses only concentrate on the expected value of the end-to-end delay when the carry and forward approach is used. Using regression analysis, we establish the distribution model for the time delay between two disconnected vehicle clusters as an exponential distribution. Consequently, a distribution is newly derived to represent the number of clusters on a highway using a vehicular traffic model. From there, we are able to formulate end-to-end delay model which extends the time delay model for two disconnected vehicle clusters to multiple disconnected clusters on a unidirectional highway. The analytical results obtained from the analytical model are then validated through simulation results.
url http://dx.doi.org/10.1155/2015/425186
work_keys_str_mv AT aslindahassan analyticalframeworkforendtoenddelaybasedonunidirectionalhighwayscenario
AT mohamedhahmed analyticalframeworkforendtoenddelaybasedonunidirectionalhighwayscenario
AT marahman analyticalframeworkforendtoenddelaybasedonunidirectionalhighwayscenario
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