Abstract
In a sensor detection network, each sensor makes a binary decision based on its own observation, and then communicates its binary decision to a fusion center, where the final decision is made. To implement an optimal fusion center, the performance of each sensor as well as the a priori probabilities of the hypotheses must be known. However, these statistics are usually unknown or may vary with time. In this paper, I will introduce a recursive algorithm that approximates these values on-line and adapts the fusion center. This approach is based on time-averaging of the local decisions and using them to estimate the error probabilities and a priori probabilities of the hypotheses. This method is efficient and its asymptotic convergence is guaranteed.
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References
Sohrabi, K., Minoli, D., Znati, T.: Wireless Sensor Networks. John Wiley, Chichester (2007)
Niu, R., Varshney, P.K.: Distributed Detection and Fusion in a Large Wireless Sensor Network of Random Size. EurAsiP Journal on Wireless Communications and Networking 4, 462–472 (2005)
Chair, Z., Varshney, P.K.: Optimum Data Fusion in Multiple Sensor Detection Systems. IEEE Trans. Aerospace Elect. Syst. 22(1), 98–101 (1986)
Mirjalily, G., Luo, Z.Q., Davidson, T.N., Bose, E.: Blind Adaptive Decision Fusion for Distributed Detection. IEEE Trans. Aerospace Elect. Syst. 39(1), 34–52 (2003)
Robbins, H., Monro, S.: A Stochastic Approximation Method. Annals of mathematical statistics 22, 400–407 (1951)
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© 2008 Springer-Verlag Berlin Heidelberg
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Mirjalily, G. (2008). Adaptive Target Detection in Sensor Networks. In: Sarbazi-Azad, H., Parhami, B., Miremadi, SG., Hessabi, S. (eds) Advances in Computer Science and Engineering. CSICC 2008. Communications in Computer and Information Science, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89985-3_145
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DOI: https://doi.org/10.1007/978-3-540-89985-3_145
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89984-6
Online ISBN: 978-3-540-89985-3
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