An intelligent network selection mechanism for vertical handover decision in vehicular Ad Hoc wireless networks

The design of the Vehicular Ad-hoc Network (VANET) technology is a modern paradigm for vehicular communication on movement. However, VANET's vertical handover (VHO) decision in seamless connectivity is a huge challenge caused by the network topology complexity and the large number of mobile nod...

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Main Author: Fazli, Azzali
Format: Thesis
Language:English
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Published: 2020
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Institution: Universiti Utara Malaysia
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spelling my.uum.etd.87752021-10-31T02:57:09Z https://etd.uum.edu.my/8775/ An intelligent network selection mechanism for vertical handover decision in vehicular Ad Hoc wireless networks Fazli, Azzali T58.5-58.64 Information technology TK7885-7895 Computer engineering. Computer hardware The design of the Vehicular Ad-hoc Network (VANET) technology is a modern paradigm for vehicular communication on movement. However, VANET's vertical handover (VHO) decision in seamless connectivity is a huge challenge caused by the network topology complexity and the large number of mobile nodes that affect the network traffic in terms of the data transmission and dissemination efficiency. Furthermore, the conventional scheme only uses a received signal strength as a metric value, which shows a lack of appropriate handover metrics that is more suitable in horizontal handover compared to VHO. Appropriate VHO decisions will result in an increase in the network quality of service (QoS) in terms of delay, latency, and packet loss. This study aims to design an intelligent network selection to minimize the handover delay and latency, and packet loss in the heterogeneous Vehicle-to- Infrastructure (V2I) wireless networks. The proposed intelligent network selection is known as the Adaptive Handover Decision (AHD) scheme that uses Fuzzy Logic (FL) and Simple Additive Weighting (SAW) algorithms, namely F-SAW scheme. The AHD scheme was designed to select the best-qualified access point (AP) and base station (BS) candidates without degrading the performance of ongoing applications. The F-SAW scheme is proposed to develop a handover triggering mechanism that generates multiple attributes parameters using the information context of vertical handover decision in the V2I heterogeneous wireless networks. This study uses a network simulator (NS-2) as the mobility traffic network and vehicular mobility traffic (VANETMobiSim) generator to implement a topology in a realistic VANET mobility scenario in Wi-Fi, WiMAX, and LTE networks technologies. The proposed AHD scheme shows an improvement in the QoS handover over the conventional (RSS-based) scheme with an average QoS increased of 21%, 20%, and 13% in delay, latency and packet loss, while Media Independent Handover based (MIH-based) scheme with 12.2%, 11%, and 7% respectively. The proposed scheme assists the mobile user in selecting the best available APs or BS during the vehicles’ movement without degrading the performance of ongoing applications. 2020 Thesis NonPeerReviewed text en https://etd.uum.edu.my/8775/1/depositpermission_s95815.pdf text en https://etd.uum.edu.my/8775/2/s95815_01.pdf text en https://etd.uum.edu.my/8775/3/s95815_references.docx Fazli, Azzali (2020) An intelligent network selection mechanism for vertical handover decision in vehicular Ad Hoc wireless networks. Doctoral thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
English
topic T58.5-58.64 Information technology
TK7885-7895 Computer engineering. Computer hardware
spellingShingle T58.5-58.64 Information technology
TK7885-7895 Computer engineering. Computer hardware
Fazli, Azzali
An intelligent network selection mechanism for vertical handover decision in vehicular Ad Hoc wireless networks
description The design of the Vehicular Ad-hoc Network (VANET) technology is a modern paradigm for vehicular communication on movement. However, VANET's vertical handover (VHO) decision in seamless connectivity is a huge challenge caused by the network topology complexity and the large number of mobile nodes that affect the network traffic in terms of the data transmission and dissemination efficiency. Furthermore, the conventional scheme only uses a received signal strength as a metric value, which shows a lack of appropriate handover metrics that is more suitable in horizontal handover compared to VHO. Appropriate VHO decisions will result in an increase in the network quality of service (QoS) in terms of delay, latency, and packet loss. This study aims to design an intelligent network selection to minimize the handover delay and latency, and packet loss in the heterogeneous Vehicle-to- Infrastructure (V2I) wireless networks. The proposed intelligent network selection is known as the Adaptive Handover Decision (AHD) scheme that uses Fuzzy Logic (FL) and Simple Additive Weighting (SAW) algorithms, namely F-SAW scheme. The AHD scheme was designed to select the best-qualified access point (AP) and base station (BS) candidates without degrading the performance of ongoing applications. The F-SAW scheme is proposed to develop a handover triggering mechanism that generates multiple attributes parameters using the information context of vertical handover decision in the V2I heterogeneous wireless networks. This study uses a network simulator (NS-2) as the mobility traffic network and vehicular mobility traffic (VANETMobiSim) generator to implement a topology in a realistic VANET mobility scenario in Wi-Fi, WiMAX, and LTE networks technologies. The proposed AHD scheme shows an improvement in the QoS handover over the conventional (RSS-based) scheme with an average QoS increased of 21%, 20%, and 13% in delay, latency and packet loss, while Media Independent Handover based (MIH-based) scheme with 12.2%, 11%, and 7% respectively. The proposed scheme assists the mobile user in selecting the best available APs or BS during the vehicles’ movement without degrading the performance of ongoing applications.
format Thesis
author Fazli, Azzali
author_facet Fazli, Azzali
author_sort Fazli, Azzali
title An intelligent network selection mechanism for vertical handover decision in vehicular Ad Hoc wireless networks
title_short An intelligent network selection mechanism for vertical handover decision in vehicular Ad Hoc wireless networks
title_full An intelligent network selection mechanism for vertical handover decision in vehicular Ad Hoc wireless networks
title_fullStr An intelligent network selection mechanism for vertical handover decision in vehicular Ad Hoc wireless networks
title_full_unstemmed An intelligent network selection mechanism for vertical handover decision in vehicular Ad Hoc wireless networks
title_sort intelligent network selection mechanism for vertical handover decision in vehicular ad hoc wireless networks
publishDate 2020
url https://etd.uum.edu.my/8775/1/depositpermission_s95815.pdf
https://etd.uum.edu.my/8775/2/s95815_01.pdf
https://etd.uum.edu.my/8775/3/s95815_references.docx
https://etd.uum.edu.my/8775/
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