A Dynamic Access Point Allocation Algorithm for Dense Wireless LANs Using Potential Game
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 924
- Type
- D - Journal article
- DOI
-
10.1016/j.comnet.2019.106991
- Title of journal
- Computer Networks
- Article number
- 106991
- First page
- -
- Volume
- 167
- Issue
- -
- ISSN
- 0169-7552
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
6
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In collaboration with the Defence University Center of Zaragoza and the Aragón Institute of Engineering Research (I3A), University of Zaragoza, Spain, the work presents a smart Wi-Fi Access Point (AP) selection algorithm relying on a novel centralized game theory-based approach, supported by EU-H2020 funding (Wi-5, €2,1M, coordinated by LJMU). This algorithm is among the first able to address high AP interference problems by reallocating connected users when sources of external interference negatively affect their connections.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
