Resource Management Technique Based on Lightweight and Compressed Sensing for Mobile Internet of Things
Joint Authors
Jianming, Zhou
Fan, Liu
Qiuyuan, Lu
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In mobile Internet of Tings, based on cross-layer design and resource-aware scheduling, the combination of light weight coding and compressed sensing is used to improve the real-time performance of acquisition of system resource and reliability of resource management in this paper.
Compressed sensing scheme based on the adaptive frame format definition of lightweight coding is able to set up the parameters such as sample signal, signal and hops.
The nonlinear relationship matrixes between resource information of sensors or system and quality of services are built to manage the global or local network resource scheduling.
Experimental results show that the proposed scheme is better than the traditional scheme or resource management based on compressed sensing alone scheme, which can make the system be able to achieve optimal resource allocation.
American Psychological Association (APA)
Jianming, Zhou& Fan, Liu& Qiuyuan, Lu. 2014. Resource Management Technique Based on Lightweight and Compressed Sensing for Mobile Internet of Things. Journal of Sensors،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1042973
Modern Language Association (MLA)
Jianming, Zhou…[et al.]. Resource Management Technique Based on Lightweight and Compressed Sensing for Mobile Internet of Things. Journal of Sensors No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1042973
American Medical Association (AMA)
Jianming, Zhou& Fan, Liu& Qiuyuan, Lu. Resource Management Technique Based on Lightweight and Compressed Sensing for Mobile Internet of Things. Journal of Sensors. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1042973
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042973