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Raschella, A, Bouhafs, F, Seyedebrahimi, M, MacKay, M and Shi, Q (2016) A Centralized Framework for Smart Access Point Selection based on the Fittingness Factor. In: 2016 23RD INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS (ICT) . (23rd International Conference on Telecommunications (ICT), 16 May 2016 - 18 May 2016, Thessaloniki, GREECE).
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Abstract
Abstract:
This paper focuses on addressing the Access Point (AP) selection problem by relying on a centralized controller that provides a global view of the network. This approach follows the Software-Defined Networking (SDN) concept, which has long been considered in the literature as an innovative method to control management functionalities for wired networks and that is also now becoming a hot topic in the context of Wi-Fi networks. The proposed AP selection approach is based on a novel algorithm which relies on the Fittingness Factor (FF) concept, to maximize a function that reflects the suitability of the available spectrum resources to the application requirements. Specifically, this paper describes the development of a framework that implements the FF-based algorithm for smart AP selection in a centralized controller. The simulated performance comparison of this algorithm against a strategy that maximizes the achievable data rate considered in many papers in the literature, illustrates the important achievements that have been obtained in terms of saved bandwidth and users' satisfaction.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Science & Technology; Technology; Engineering, Electrical & Electronic; Telecommunications; Engineering; Access point selection; Fittingness factor; Software Defined Network |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computer Science and Mathematics |
| Publisher: | IEEE |
| Related URLs: | |
| Date of acceptance: | 1 January 2016 |
| Date of first compliant Open Access: | 7 February 2017 |
| Date Deposited: | 07 Feb 2017 14:57 |
| Last Modified: | 13 Apr 2022 15:15 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/5467 |
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