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ABC-PSO for vertical handover in heterogeneous wireless networks

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

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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.

Item Type: Article (Journal)
Additional Information: 2523/56088
Uncontrolled Keywords: Vertical Handover, ABC, PSO, IEEE 802.21, Heterogeneous Wireless Networks.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr. Aisha Hassan Abdalla Hashim
Date Deposited: 14 Apr 2017 15:01
Last Modified: 02 Apr 2018 08:48
URI: http://irep.iium.edu.my/id/eprint/56088

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