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:	eng eng eng
Published:	2020
Subjects:	T58.5-58.64 Information technology
Online Access:	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
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spelling	my-uum-etd.87752021-10-31T02:57:09Z An intelligent network selection mechanism for vertical handover decision in vehicular Ad Hoc wireless networks 2020 Fazli, Azzali Ghazali, Osman Omar, Hasbullah Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts & Sciences 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 https://etd.uum.edu.my/8775/ https://etd.uum.edu.my/8775/1/depositpermission_s95815.pdf text eng staffonly https://etd.uum.edu.my/8775/2/s95815_01.pdf text eng public https://etd.uum.edu.my/8775/3/s95815_references.docx text eng public other doctoral Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng eng
advisor	Ghazali, Osman Omar, Hasbullah
topic	T58.5-58.64 Information technology T58.5-58.64 Information technology
spellingShingle	T58.5-58.64 Information technology T58.5-58.64 Information technology 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
qualification_name	other
qualification_level	Doctorate
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
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
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
_version_	1747828458026696704

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

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