ABC-PSO for vertical handover in heterogeneous wireless networks
Cloud computing is currently emerging quickly as a client-server technology structure and, currently, providing distributed service applications. However, given the availability of a diverse range of wireless access technologies, people expect continuous connection to the most suitable technology th...
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iium-560882018-04-02T00:48:59Z http://irep.iium.edu.my/56088/ ABC-PSO for vertical handover in heterogeneous wireless networks Goudarzi, Shidrokh Hassan, Wan Haslina Anisi, Mohammad Hossein Soleymani, Seyed Ahmad Sookhak, Mehdi Khan, Muhammad Khurram Hassan Abdalla Hashim, Aisha Zareei, Mahdi TK7885 Computer engineering Cloud computing is currently emerging quickly as a client-server technology structure and, currently, providing distributed service applications. However, given the availability of a diverse range of wireless access technologies, people expect continuous connection to the most suitable technology that matchers price affordability and performance goals. Among the main challenges of modern communication is the accessibility to wireless networks using mobile devices, with a high service quality (QoS) based on preferences of the users. Past literatures contain several heuristic approaches that use simplified rules to look for the best network that is available. Nevertheless, attributes of mobile devices need algorithms that are quick and effective in order to select best available network near real-time. This study proposes a hybrid intelligent handover decision algorithm primarily founded on two main heuristic algorithms: Artificial Bee Colony or ABC as well as Particle Swarm Optimization or PSO named ABC-PSO to select best wireless network during vertical handover process. The ABC-PSO algorithm has been optimized to achieve small cost function that are powered using the IEEE 802.21 standard taking into account different available wireless networks, the application requirements and the user preferences to improve QoS. Numerical results demonstrate that the ABC-PSO algorithm comparing to the related work has lower cost and delay, higher available bandwidth and less number of handover. Elsevier 2017-02-10 Article PeerReviewed application/pdf en http://irep.iium.edu.my/56088/19/56088_ABC-PSO%20for%20vertical%20handover.pdf application/pdf en http://irep.iium.edu.my/56088/13/56088_ABC-PSO%20for%20vertical%20handover_SCOPUS.pdf Goudarzi, Shidrokh and Hassan, Wan Haslina and Anisi, Mohammad Hossein and Soleymani, Seyed Ahmad and Sookhak, Mehdi and Khan, Muhammad Khurram and Hassan Abdalla Hashim, Aisha and Zareei, Mahdi (2017) ABC-PSO for vertical handover in heterogeneous wireless networks. Neurocomputing, 256. pp. 63-81. ISSN 0925-2312 http://www.sciencedirect.com/science/article/pii/S0925231217304174 10.1016/j.neucom.2016.08.136 |
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TK7885 Computer engineering Goudarzi, Shidrokh Hassan, Wan Haslina Anisi, Mohammad Hossein Soleymani, Seyed Ahmad Sookhak, Mehdi Khan, Muhammad Khurram Hassan Abdalla Hashim, Aisha Zareei, Mahdi ABC-PSO for vertical handover in heterogeneous wireless networks |
description |
Cloud computing is currently emerging quickly as a client-server technology structure and, currently, providing distributed service applications. However, given the availability of a diverse range of wireless access technologies, people expect continuous connection to the most suitable technology that matchers price affordability and performance goals. Among the main challenges of modern communication is the accessibility to wireless networks using mobile devices, with a high service quality (QoS) based on preferences of the users. Past literatures contain several heuristic approaches that use simplified rules to look for the best network that is available. Nevertheless, attributes of mobile devices need algorithms that are quick and effective in order to select best available network near real-time. This study proposes a hybrid intelligent handover decision algorithm primarily founded on two main heuristic algorithms: Artificial Bee Colony or ABC as well as Particle Swarm Optimization or PSO named ABC-PSO to select best wireless network during vertical handover process. The ABC-PSO algorithm has been optimized to achieve small cost function that are powered using the IEEE 802.21 standard taking into account different available wireless networks, the application requirements and the user preferences to improve QoS. Numerical results demonstrate that the ABC-PSO algorithm comparing to the related work has lower cost and delay, higher available bandwidth and less number of handover. |
format |
Article |
author |
Goudarzi, Shidrokh Hassan, Wan Haslina Anisi, Mohammad Hossein Soleymani, Seyed Ahmad Sookhak, Mehdi Khan, Muhammad Khurram Hassan Abdalla Hashim, Aisha Zareei, Mahdi |
author_facet |
Goudarzi, Shidrokh Hassan, Wan Haslina Anisi, Mohammad Hossein Soleymani, Seyed Ahmad Sookhak, Mehdi Khan, Muhammad Khurram Hassan Abdalla Hashim, Aisha Zareei, Mahdi |
author_sort |
Goudarzi, Shidrokh |
title |
ABC-PSO for vertical handover in heterogeneous wireless networks |
title_short |
ABC-PSO for vertical handover in heterogeneous wireless networks |
title_full |
ABC-PSO for vertical handover in heterogeneous wireless networks |
title_fullStr |
ABC-PSO for vertical handover in heterogeneous wireless networks |
title_full_unstemmed |
ABC-PSO for vertical handover in heterogeneous wireless networks |
title_sort |
abc-pso for vertical handover in heterogeneous wireless networks |
publisher |
Elsevier |
publishDate |
2017 |
url |
http://irep.iium.edu.my/56088/ http://irep.iium.edu.my/56088/ http://irep.iium.edu.my/56088/ http://irep.iium.edu.my/56088/19/56088_ABC-PSO%20for%20vertical%20handover.pdf http://irep.iium.edu.my/56088/13/56088_ABC-PSO%20for%20vertical%20handover_SCOPUS.pdf |
first_indexed |
2023-09-18T21:19:08Z |
last_indexed |
2023-09-18T21:19:08Z |
_version_ |
1777411763931709440 |