Energy detection for spectrum sensing in cognitive radio sensor network over fading channels

Authors:
Fuping Hu;Shu Wang
Affiliations:
Department of Electronics & Information Engineering, Huazhong University of Science & Technology, Wuhan, China;Department of Electronics & Information Engineering, Huazhong University of Science & Technology, Wuhan, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 6
Cited 1

Wireless sensor networks: a survey

Computer Networks: The International Journal of Computer and Telecommunications Networking
Spectrum sensing method for increasing the spectrum efficiency in wireless sensor network

UCS'06 Proceedings of the Third international conference on Ubiquitous Computing Systems
The total variance of a periodogram-based spectral estimate of a stochastic process with spectral uncertainty and its application to classifier design

IEEE Transactions on Signal Processing
Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks

IEEE Transactions on Wireless Communications
Cooperative Spectrum Sensing in Cognitive Radio, Part II: Multiuser Networks

IEEE Transactions on Wireless Communications
Dynamic spectrum allocation in composite reconfigurable wireless networks

IEEE Communications Magazine

Adapting Cognitive Radio Technology for Low-Power Wireless Personal Area Network Devices

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

With the exciting progress of wireless sensor networks (WSN), a major difficulty will be faced in that the limited frequency spectrum, even with the industrial, scientific and medical (ISM) bands, will be extremely crowded. Moreover purchasing spectrum rights with millions or billions of dollars is unreasonable under an emphasis on low-cost to WSN. Thus an alternate method based on the concept of Cognitive Radio is explored to capture spectrum for WSN. A cooperative energy detection technique is introduced. The probabilities of detection of proposed technique are evaluated over some classical fading channels. The quantization case is also considered for practicality. The simulation results show that the quantization case exhibits almost comparable performance with the optimum Neyman-Pearson detector, while it has much less overhead.