Game theory-based resource allocation for secure WPCN multiantenna multicasting systems
- Submitting institution
-
Middlesex University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1094
- Type
- D - Journal article
- DOI
-
10.1109/TIFS.2017.2774441
- Title of journal
- IEEE Transactions on Information Forensics and Security
- Article number
- -
- First page
- 926
- Volume
- 13
- Issue
- 4
- ISSN
- 1556-6013
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2017
- URL
-
http://eprints.mdx.ac.uk/23638/
- 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
-
2
- Research group(s)
-
-
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research uses game theory to address the important issues of energy harvesting and security in wireless multicasting systems. The challenge is that with multicasting services, there are always multiple eavesdroppers coexisting with the legitimate users. In this case, security is a strict constraint and a difficult challenge to address. This paper is significant because it proposes an elegant and effective optimization solution that addresses both the wireless power transfer and the security issues in a practical scenario through the game theory-based model of market leader and follower, highlighted by the derived closed-form Stackelberg equilibrium.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -