Fuzzy logic-based intelligent scheme for enhancing QoS of vertical handover decision in vehicular ad-hoc networks

The design of next generation networks in various technologies under the “Anywhere, Anytime” paradigm offers seamless connectivity across different coverage. A conventional algorithm such as RSSThreshold algorithm, that only uses the received strength signal (RSS) as a metric, will decrease handover...

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Main Authors: Azzali, Fazli, Ghazali, Osman, Omar, Mohd Hasbullah
Format: Article
Language:English
Published: IOP Publishing 2017
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Online Access:http://repo.uum.edu.my/26181/1/IRIS%202017%201%2012.pdf
http://repo.uum.edu.my/26181/
http://doi.org/10.1088/1757-899X/226/1/012081
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Institution: Universiti Utara Malaysia
Language: English
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spelling my.uum.repo.261812019-07-07T07:17:50Z http://repo.uum.edu.my/26181/ Fuzzy logic-based intelligent scheme for enhancing QoS of vertical handover decision in vehicular ad-hoc networks Azzali, Fazli Ghazali, Osman Omar, Mohd Hasbullah QA75 Electronic computers. Computer science The design of next generation networks in various technologies under the “Anywhere, Anytime” paradigm offers seamless connectivity across different coverage. A conventional algorithm such as RSSThreshold algorithm, that only uses the received strength signal (RSS) as a metric, will decrease handover performance regarding handover latency, delay, packet loss, and handover failure probability. Moreover, the RSS-based algorithm is only suitable for horizontal handover decision to examine the quality of service (QoS) compared to the vertical handover decision in advanced technologies. In the next generation network, vertical handover can be started based on the user’s convenience or choice rather than connectivity reasons. This study proposes a vertical handover decision algorithm that uses a Fuzzy Logic (FL) algorithm, to increase QoS performance in heterogeneous vehicular ad-hoc networks (VANET). The study uses network simulator 2.29 (NS 2.29) along with the mobility traffic network and generator to implement simulation scenarios and topologies. This helps the simulation to achieve a realistic VANET mobility scenario. The required analysis on the performance of QoS in the vertical handover can thus be conducted. The proposed Fuzzy Logic algorithm shows improvement over the conventional algorithm (RSSThreshold) in the average percentage of handover QoS whereby it achieves 20%, 21% and 13% improvement on handover latency, delay, and packet loss respectively. This is achieved through triggering a process in layer two and three that enhances the handover performance. IOP Publishing 2017 Article PeerReviewed application/pdf en http://repo.uum.edu.my/26181/1/IRIS%202017%201%2012.pdf Azzali, Fazli and Ghazali, Osman and Omar, Mohd Hasbullah (2017) Fuzzy logic-based intelligent scheme for enhancing QoS of vertical handover decision in vehicular ad-hoc networks. IOP Conference Series: Materials Science and Engineering, 226. pp. 1-12. ISSN 1757-8981 http://doi.org/10.1088/1757-899X/226/1/012081 doi:10.1088/1757-899X/226/1/012081
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Azzali, Fazli
Ghazali, Osman
Omar, Mohd Hasbullah
Fuzzy logic-based intelligent scheme for enhancing QoS of vertical handover decision in vehicular ad-hoc networks
description The design of next generation networks in various technologies under the “Anywhere, Anytime” paradigm offers seamless connectivity across different coverage. A conventional algorithm such as RSSThreshold algorithm, that only uses the received strength signal (RSS) as a metric, will decrease handover performance regarding handover latency, delay, packet loss, and handover failure probability. Moreover, the RSS-based algorithm is only suitable for horizontal handover decision to examine the quality of service (QoS) compared to the vertical handover decision in advanced technologies. In the next generation network, vertical handover can be started based on the user’s convenience or choice rather than connectivity reasons. This study proposes a vertical handover decision algorithm that uses a Fuzzy Logic (FL) algorithm, to increase QoS performance in heterogeneous vehicular ad-hoc networks (VANET). The study uses network simulator 2.29 (NS 2.29) along with the mobility traffic network and generator to implement simulation scenarios and topologies. This helps the simulation to achieve a realistic VANET mobility scenario. The required analysis on the performance of QoS in the vertical handover can thus be conducted. The proposed Fuzzy Logic algorithm shows improvement over the conventional algorithm (RSSThreshold) in the average percentage of handover QoS whereby it achieves 20%, 21% and 13% improvement on handover latency, delay, and packet loss respectively. This is achieved through triggering a process in layer two and three that enhances the handover performance.
format Article
author Azzali, Fazli
Ghazali, Osman
Omar, Mohd Hasbullah
author_facet Azzali, Fazli
Ghazali, Osman
Omar, Mohd Hasbullah
author_sort Azzali, Fazli
title Fuzzy logic-based intelligent scheme for enhancing QoS of vertical handover decision in vehicular ad-hoc networks
title_short Fuzzy logic-based intelligent scheme for enhancing QoS of vertical handover decision in vehicular ad-hoc networks
title_full Fuzzy logic-based intelligent scheme for enhancing QoS of vertical handover decision in vehicular ad-hoc networks
title_fullStr Fuzzy logic-based intelligent scheme for enhancing QoS of vertical handover decision in vehicular ad-hoc networks
title_full_unstemmed Fuzzy logic-based intelligent scheme for enhancing QoS of vertical handover decision in vehicular ad-hoc networks
title_sort fuzzy logic-based intelligent scheme for enhancing qos of vertical handover decision in vehicular ad-hoc networks
publisher IOP Publishing
publishDate 2017
url http://repo.uum.edu.my/26181/1/IRIS%202017%201%2012.pdf
http://repo.uum.edu.my/26181/
http://doi.org/10.1088/1757-899X/226/1/012081
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