Abstract
We propose a hybrid distributed detection scheme based on multi-hop in the electromagnetic spectrum monitoring sensor network (ESMSN), which consists of the local monitoring sensors (MSs) level fusion detection and cluster head nodes (CHNs) level fusion detection. In the local MSs level fusion detection, each MS makes a decision based on its observation to the specific spectrum in independent additive observation noises with possibly different variances and the decision of the last MS, and sends its decision to the next MS and the corresponding CHN through the hybrid structure. In the CHNs level fusion detection, each CHN makes a decision based on the one it receives from MSs in its cluster and passes its decision to the fusion center (FC) through multi-hop, short-range communications, where the final decision is made. We investigate the performance of the hybrid distributed detection scheme based on multi-hop, which takes the channel fading into account, and derive the probability of detection and the probability of the false alarm, respectively. Analysis and simulation results show that the proposed scheme can obtain a higher probability of detection than the parallel distributed detection scheme for a given probability of false alarm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
VISWANATHAN, R., THOMOPOULOS, S. C. A. and TUMULURI, R..: Optimal Serial Distributed Decision Fusion. IEEE Transactions on Aerospace and Electronic Systems. AES-24, vol. 4, pp. 366–376 (1988).
VISWANATHAN, R. and VARSHNEY, P. K.: Distributed Detection with Multiple Sensors: Part I-Fundamentals. Proceedings of The IEEE, vol. 85, No. 1, pp. 53–63 (1997).
Lucchi, I. M.: Cooperative Communication and Distributed Detection in Wireless Sensor Networks. ALMA MATER STUDIORUM UNIVERSATTA DEGLI STYDI DI BOLOGNA SEDE DI CESENA. pp. 3–72 (2007).
Liang Xiaoguo, Li Yanjun: A Optimal Fusion Algorithm for Distributed Detection System Based on Wireless Sensor Network. Journal of Northwestern Polytechnical University of China, vol. 25, No. 2, pp. 230–234 (2007).
Chamberland, J., Veeravalli, V. V.: Decentralized Detection in Senor Networks. IEEE Transactions on Signal Processing, vol. 51, No. 2, pp. 407–416 (2003).
Tantawy, A., Koutsoukos, X. and Biswas, G.:Maximum Likelihood Detection with Intermittent Observations. Information Sciences and Systems of the 43rd Annual Conference, 18–20 March, pp. 1–6 (2009).
Niu, R., Varshney, P. K. and Cheng, Q.: Distributed Detection in a Large Wireless Sensor Network. ScienceDirect Information Fusion, vol. 7, pp. 380–394 (2006).
Zhang, X., Li, F. and Yang, F.: Distributed LMMSE Detection in Wireless Sensor Networks. 2010 International Conference on Measuring Technology and Mechatronics Automation, pp. 26–29 (2010).
Cheng, V. W., Wang, T.: Performance Analysis of Distributed Decision Fusion Using a Censoring Scheme in Wireless Sensor Networks. IEEE Transactions on Vehicular Technology, vol. 59, No. 6, pp. 2845–2851 (2010).
Isrfil, B., Ghassan, A. and Yucel, A.: Parrel Distrbuted Detection for Wireless Sensor Network: Performance Analysis and Design. IEEE GLobecom 2005, pp. 2420–2424 (2005).
Tsistsiklis, J. N.: Decentralized Detection. In Advances in Statistical Signal Processing, Signal Detection, vol. 2, pp. 1–43(1993).
Niu, R., Varshney, P. K.: Distributed Detection and Fusion in a Large Wireless Sensor Network of Random Size. Journal on Wireless Communications and Networking, vol. 4, pp. 462–472(2005).
Key, S. M..: Fundamentals of Statistical Signal Processing, Volume II: Detection Theory. Pearson Education, Inc, Prentice Hall PTR, 1993.
Acknowledgment
The work is funded by the Important National Specific Projects (2010ZX03006-002-01).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media, LLC
About this paper
Cite this paper
Zhang, Y., Zhao, H. (2012). A Hybrid Distributed Detection Scheme Based on Multi-hop in Electromagnetic Spectrum Monitoring Sensor Networks. In: Chen, R. (eds) 2011 International Conference in Electrics, Communication and Automatic Control Proceedings. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8849-2_28
Download citation
DOI: https://doi.org/10.1007/978-1-4419-8849-2_28
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-8848-5
Online ISBN: 978-1-4419-8849-2
eBook Packages: EngineeringEngineering (R0)