cognitive radio networks; combined censoring and sleeping; ZigBee; IEEE 802.15.4; energy-effiency; sleeping rate; censoring rate
Abstract :
[en] We consider a combined sleeping and censoring scheme for energy-efficient spectrum sensing in cognitive sensor networks. We analyze the detection performance of this scheme by theoretically deriving the global probabilities of detection and false-alarm. Our goal is to minimize the energy consumption incurred in distributed sensing, given constraints on the global probabilities of detection and false-alarm, by optimally designing the sleeping rate and the censoring thresholds. Using specific transceiver models for sensors based on IEEE 802.15.4/ZigBee, we show the energy savings achieved under an optimum choice of the design parameters.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Maleki, Sina ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Pandharipande, Ashish
Leus, Geert
Language :
English
Title :
Energy-efficient spectrum sensing for cognitive sensor networks
Publication date :
November 2009
Event name :
35th Annual Conference of IEEE Industrial Electronics, 2009. IECON '09
Event place :
Porto, Portugal
Event date :
3-5 Nov. 2009
By request :
Yes
Audience :
International
Main work title :
35th Annual Conference of IEEE Industrial Electronics, 2009. IECON '09
J. Ammer and J. Rabaey, "The energy-per-useful-bit metric for evaluating and optimizing sensor network physical layers," IEEE International Workshop on Wireless Ad-Hoc and Sensor Networks, 2006.
S. Appadwedula, V. V. Veeravalli and D. L. Jones, "Decentralized Detection With Censoring Sensors," IEEE Transactions on Signal Processing, pp 1362-1373, Apr 2008.
D. Cabric, S. M. Mishra and R. W. Brodersen, "Implementation issues in spectrum sensing for cognitive radios," Asilomar Conference on Signals, Systems and Computers, pp 772-776, Nov 2004.
C. R. C. da Silva, B. Choi and K. Kim, "Cooperative Sensing among Cognitive Radios," Information Theory and Applications Workshop, pp 120-123, 2007.
Federal Communications Commission - Second Report and Order and Memorandum Opinion and Order, "Unlicensed operation in the TV broadcast bands," FCC 08-260, Nov 2008.
W. Heinzelman, A. P. Chandrakasan and H. Balakrishnan, "An Application-Specific Protocol Architecture for Wireless Microsensor," IEEE Transactions on Wireless Networking, pp 660-670, Oct 2002.
IEEE 802.15.4 standard, Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WPANs), 2006.
S. M. Kay, Fundamentals of Statistical Signal Processing, Volume 2: Detection Theory, Prentice Hall, 1998.
C.-H. Lee and W. Wolf, "Energy Efficient Techniques for Cooperative Spectrum Sensing in Cognitive Radios," IEEE Consumer Communications and Networking Conference, pp 968-972, Jan 2008.
S. M. Mishra, A. Sahai and R. W. Brodersen, "Cooperative Sensing among Cognitive Radios," IEEE International Conference on Communications, pp 1658-1663, June 2006.
J. Nocedal and S. Wright, Numerical Optimization, Springer, 2000.
C. Rago, P. Willett and Y. Bar-Shalom, "Censoring sensors: a low-communication-rate scheme for distributed detection," IEEE Transactions on Aerospace and Electronic Systems, pp 554-568, Apr 1996.
D. A. Roberson, C. S. Hood, J. L. LoCicero and J. T. MacDonald, "Spectral Occupancy and Interference Studies in support of Cognitive Radio Technology Deployment," IEEE Workshop on Networking Technologies for Software Defined Radio Networks, pp 26-35, Sept 2006.
P. K. Varshney, Distributed Detection and Data Fusion, Springer, 1996.
A. Y. Wang and C. G. Sodini, "On the Energy Efficiency of Wireless Transceivers", IEEE International Conference on Communications, pp 3783-3788, June 2006.
K. Yamasaki and T. Ohtsuki, "Design of energy-efficient wireless sensor networks with censoring, on-off, and censoring and on-off sensors based on mutual information," IEEE Vehicular Technology Conference, pp 1312-1316, 2005.
Q. Zhao and B. M. Sadler, "A Survey of Dynamic Spectrum Access," IEEE Signal Processing Magazine, pp 79-89, May 2007.
