ABC-PSO for vertical handover in heterogeneous wireless networks

NEUROCOMPUTING

卷:256

Article

Goudarzi, Shidrokh¹  Hassan, Wan Haslina¹  Anisi, Mohammad Hossein²  Soleymani, Ahmad³  Sookhak, Mehdi⁴  Khan, Muhammad Khurram⁵  Hashim, Aisha-Hassan Abdalla⁶  Zareei, Mandi¹ 

[1] Univ Teknol Malaysia, MJIIT, Commun Syst & Network iKohza Res Grp, Skudai 81310, Johor, Malaysia

[2] Univ East Anglia, Sch Comp Sci, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England

[3] Univ Teknol Malaysia, Fac Comp, Dept Comp, Johor Baharu, Malaysia

[4] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON, Canada

[5] King Saud Univ, Ctr Excellence Informat Assurance CoEIA), Riyadh 12372, Saudi Arabia

[6] Int Islamic Univ Malaysia Kuala Lumpur, Fac Elect & Comp Engn, Kuala Lumpur, Malaysia

关键词: Vertical handover;    ABC;    PSO;    IEEE 802.21;    Heterogeneous wireless networks;   

DOI  :  10.1016/j.neucom.2016.08.136

来源: Elsevier

【 摘 要 】

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 matches 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 compared to the related work has lower cost and delay, higher available bandwidth and less number of handover. (C) 2017 Elsevier B.V. All rights reserved.

【 授权许可】

Free