Resource Management Technique Based on Lightweight and Compressed Sensing for Mobile Internet of Things

Joint Authors

Jianming, Zhou
Fan, Liu
Qiuyuan, Lu

Source

Journal of Sensors

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

Civil Engineering

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