Learning-Based QoS Control Algorithms for Next Generation Internet of Things
Author
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Telecommunications Engineering
Abstract EN
The Internet has become an evolving entity, growing in importance and creating new value through its expansion and added utilization.
The Internet of Things (IoT) is a new concept associated with the future Internet and has recently become popular in a dynamic and global network infrastructure.
However, in an IoT implementation, it is difficult to satisfy different Quality of Service (QoS) requirements and achieve rapid service composition and deployment.
In this paper, we propose a new QoS control scheme for IoT systems.
Based on the Markov game model, the proposed scheme can effectively allocate IoT resources while maximizing system performance.
In multiagent environments, a game theory approach can provide an effective decision-making framework for resource allocation problems.
To verify the results of our study, we perform a simulation and confirm that the proposed scheme can achieve considerably improved system performance compared to existing schemes.
American Psychological Association (APA)
Kim, Sungwook. 2015. Learning-Based QoS Control Algorithms for Next Generation Internet of Things. Mobile Information Systems،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1072759
Modern Language Association (MLA)
Kim, Sungwook. Learning-Based QoS Control Algorithms for Next Generation Internet of Things. Mobile Information Systems No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1072759
American Medical Association (AMA)
Kim, Sungwook. Learning-Based QoS Control Algorithms for Next Generation Internet of Things. Mobile Information Systems. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1072759
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072759