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...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Published: |
Elsevier B. V
2017
|
| Subjects: |
| _version_ | 1796863280919085056 |
|---|---|
| author | Goudarzi, S. Hassan, W. H. Anisi, M. H. Soleymani, A. Sookhak, M. Khan, M. K. Hashim, A. H. A. |
| author_facet | Goudarzi, S. Hassan, W. H. Anisi, M. H. Soleymani, A. Sookhak, M. Khan, M. K. Hashim, A. H. A. |
| author_sort | Goudarzi, S. |
| collection | ePrints |
| 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 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. |
| first_indexed | 2024-03-05T20:24:23Z |
| format | Article |
| id | utm.eprints-80900 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:24:23Z |
| publishDate | 2017 |
| publisher | Elsevier B. V |
| record_format | dspace |
| spelling | utm.eprints-809002019-07-24T00:10:28Z http://eprints.utm.my/80900/ ABC-PSO for vertical handover in heterogeneous wireless networks Goudarzi, S. Hassan, W. H. Anisi, M. H. Soleymani, A. Sookhak, M. Khan, M. K. Hashim, A. H. A. QA75 Electronic computers. Computer science 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. Elsevier B. V 2017 Article PeerReviewed Goudarzi, S. and Hassan, W. H. and Anisi, M. H. and Soleymani, A. and Sookhak, M. and Khan, M. K. and Hashim, A. H. A. (2017) ABC-PSO for vertical handover in heterogeneous wireless networks. Neurocomputing, 256 . pp. 63-81. ISSN 0922312 http://dx.doi.org/10.1016/j.neucom.2016.08.136 DOI:10.1016/j.neucom.2016.08.136 |
| spellingShingle | QA75 Electronic computers. Computer science Goudarzi, S. Hassan, W. H. Anisi, M. H. Soleymani, A. Sookhak, M. Khan, M. K. Hashim, A. H. A. ABC-PSO for vertical handover in heterogeneous wireless networks |
| title | 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_short | ABC-PSO for vertical handover in heterogeneous wireless networks |
| title_sort | abc pso for vertical handover in heterogeneous wireless networks |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT goudarzis abcpsoforverticalhandoverinheterogeneouswirelessnetworks AT hassanwh abcpsoforverticalhandoverinheterogeneouswirelessnetworks AT anisimh abcpsoforverticalhandoverinheterogeneouswirelessnetworks AT soleymania abcpsoforverticalhandoverinheterogeneouswirelessnetworks AT sookhakm abcpsoforverticalhandoverinheterogeneouswirelessnetworks AT khanmk abcpsoforverticalhandoverinheterogeneouswirelessnetworks AT hashimaha abcpsoforverticalhandoverinheterogeneouswirelessnetworks |