UUM Electronic Theses and Dissertation
UUM ETD | Universiti Utara Malaysian Electronic Theses and Dissertation
FAQs | Feedback | Search Tips | Sitemap

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

Fazli, Azzali (2020) An intelligent network selection mechanism for vertical handover decision in vehicular Ad Hoc wireless networks. Doctoral thesis, Universiti Utara Malaysia.

[thumbnail of depositpermission_s95815.pdf] Text
depositpermission_s95815.pdf
Restricted to Repository staff only

Download (208kB) | Request a copy
[thumbnail of s95815_01.pdf] Text
s95815_01.pdf

Download (2MB)
[thumbnail of s95815_references.docx] Text
s95815_references.docx

Download (110kB)

Abstract

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.

Item Type: Thesis (Doctoral)
Supervisor : Ghazali, Osman and Omar, Hasbullah
Item ID: 8775
Uncontrolled Keywords: Vehicle-to-Infrastructure, Fuzzy logic, Received signal strength, Simple additive weighting, Media independent handover.
Subjects: T Technology > T Technology (General) > T58.5-58.64 Information technology
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware
Divisions: Awang Had Salleh Graduate School of Arts & Sciences
Date Deposited: 31 Oct 2021 02:57
Last Modified: 31 Oct 2021 02:57
Department: Awang Had Salleh Graduate School of Arts & Sciences
Name: Ghazali, Osman and Omar, Hasbullah
URI: https://etd.uum.edu.my/id/eprint/8775

Actions (login required)

View Item
View Item