Energy-Efficient Coalition Games with Incentives in Machine-to-Machine Communications. (16th June 2019)
- Record Type:
- Journal Article
- Title:
- Energy-Efficient Coalition Games with Incentives in Machine-to-Machine Communications. (16th June 2019)
- Main Title:
- Energy-Efficient Coalition Games with Incentives in Machine-to-Machine Communications
- Authors:
- Juma, Raymond W.
Kurien, Anish M.
Olwal, Thomas O. - Other Names:
- Zhou Huan Guest Editor.
- Abstract:
- Abstract : The need to achieve energy efficiency in machine-to-machine (M2M) communications has been a driver of the use of coalition game-based cooperative communication schemes. The proposed schemes have shown good energy-efficient performance results in the recent past. However, sustaining cooperation amongst coalition games of M2M devices from different network-operating authorities requires appropriate incentives. A review of the literature demonstrates that a limited number of contributions have considered the use of coalition games with incentives in M2M communications. In this paper, an energy-efficient coalition game with incentives in M2M communications is proposed. This work considers a Sierpinski triangle technique to partition M2M devices into multiple networks of hierarchical zones. Based on the constructed zones, a contract-modelled incentive is invoked to stimulate multihop transmissions between devices up to the BS/sink. The results obtained demonstrate that the proposed approach is on average 10% more energy efficient than the closely related existing algorithm, the coalition game theoretical clustering (CGTC).
- Is Part Of:
- Journal of computer networks and communications. Volume 2019(2019)
- Journal:
- Journal of computer networks and communications
- Issue:
- Volume 2019(2019)
- Issue Display:
- Volume 2019, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 2019
- Issue:
- 2019
- Issue Sort Value:
- 2019-2019-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-06-16
- Subjects:
- Computer networks -- Periodicals
Computer science -- Periodicals
004.605 - Journal URLs:
- https://www.hindawi.com/journals/jcnc/ ↗
- DOI:
- 10.1155/2019/3217369 ↗
- Languages:
- English
- ISSNs:
- 2090-7141
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 11213.xml