Energy-Aware Adaptive Cooperative FEC Protocol in MIMO Channel for Wireless Sensor Networks
Joint Authors
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-15
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
We propose an adaptive cooperative forward error correction (ACFEC) based on energy efficiency combining Reed-Solomon (RS) coder algorithm and multiple input multiple output (MIMO) channel technology with monitoring signal-to-noise ratio (SNR) in wireless sensor networks.
First, we propose a new Markov chain model for FEC based on RS codes and derive the expressions for QoS on the basis of this model, which comprise four metrics: throughput, packet error rate, delay, and energy efficiency.
Then, we apply RS codes with the MIMO channel technology to the cross-layer design.
Numerical and simulation results show that the joint design of MIMO and adaptive cooperative FEC based on RS codes can achieve considerable spectral efficiency gain, real-time performance, reliability, and energy utility.
American Psychological Association (APA)
Jin, Yong& Bai, Guangwei. 2013. Energy-Aware Adaptive Cooperative FEC Protocol in MIMO Channel for Wireless Sensor Networks. Journal of Electrical and Computer Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-505839
Modern Language Association (MLA)
Jin, Yong& Bai, Guangwei. Energy-Aware Adaptive Cooperative FEC Protocol in MIMO Channel for Wireless Sensor Networks. Journal of Electrical and Computer Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-505839
American Medical Association (AMA)
Jin, Yong& Bai, Guangwei. Energy-Aware Adaptive Cooperative FEC Protocol in MIMO Channel for Wireless Sensor Networks. Journal of Electrical and Computer Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-505839
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505839