Abstract
In this work, two soft-decision fusion rules, which are respectively named the maximum a priori (MAP) and the suboptimal minimum Euclidean distance (MED) fusion rules, are designed based on a given employed sensor code and associated local classification. Their performance comparison with the distributed classification fusion using soft-decision decoding (DCSD) proposed in an earlier work is also performed. Simulations show that when the number of faulty sensors is small, the MAP fusion rule remains the best at either low sensor observation signal-to-noise ratios (OSNRs) or low communication channel signal-to-noise ratios (CSNRs), and yet, the DCSD fusion rule gives the best performance at middle to high OSNRs and high CSNRs. However, when the number of faulty sensor nodes grows large, the least complex MED fusion rule outperforms the MAP fusion rule at high OSNRs and high CSNRs.
This work was supported in part by Research Center of Wireless Network and Multimedia Communication under “Aim for Top University Plan” project of NSYSU and Ministry of Education, Taiwan and by the NSC of Taiwan, R.O.C., under grant NSC 94-2213-E-305-001.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Communications Magazine, 102–114 (2002)
Dan, L., Wong, K.D., Yu, H.H., Sayeed, A.M.: Detection, classification, and tracking of targets. IEEE Signal Processing Magazine 19, 17–29 (2002)
Wang, H., Elson, J., Girod, L., Estrin, D., Yao, K.: Target classification and localization in habitat monitoring. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), Hong Kong, China (2003)
Aldosari, S.A., Moura, J.M.F.: Detection in decentralized sensor networks. In: IEEE International Conference on Accoustics, Speech, and Signal Processing, Montreal, Canada (2004)
Chamberland, J.F., Veeravalli, V.V.: Asymptotic results for decentralized detection in power constrained wireless sensor networks. IEEE Journal of Selected Areas in Communications 22(6), 1007–1015 (2004)
Wang, T.Y., Han, Y.S., Varshney, P.K., Chen, P.N.: Distributed fault-tolerant classification in wireless sensor networks. IEEE Journal of Selected Areas in Communications 23(4), 724–734 (2005)
Wang, T.Y., Han, Y.S., Chen, B., Varshney, P.K.: A combined decision fusion and channel coding scheme for distributed fault-tolerant classification in wireless sensor networks. IEEE Trans. Wireless Commun. 5(7) (2006)
Pai, H.T., Han, Y.S., Sung, J.T.: Two-dimensional coded classification schemes in wireless sensor networks. In: IEEE Trans. on Wireless Commun. (submitted, 2006)
Chen, P.N., Wang, T.Y., Han, Y.S., Varshney, P.K., Yao, C.: Performance analysis and code design for minimum hamming distance fusion in wireless sensor networks. IEEE Trans. Inform. Theory (submitted, 2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, TY., Chen, PN., Han, Y.S., Wang, YT. (2006). On the Design of Soft-Decision Fusion Rule for Coding Approach in Wireless Sensor Networks. In: Cheng, X., Li, W., Znati, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2006. Lecture Notes in Computer Science, vol 4138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11814856_15
Download citation
DOI: https://doi.org/10.1007/11814856_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37189-2
Online ISBN: 978-3-540-37190-8
eBook Packages: Computer ScienceComputer Science (R0)