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Distributed decision fusion over fading channels in hierarchical wireless sensor networks

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Abstract

In this work, we investigate distributed decision fusion in hierarchical wireless sensor networks that are degraded by fading and noise. With the use of the complete fading channel state information (CSI), we first derive the likelihood ratio test (LRT) based optimum fusion rule, which we call LRT–CSI. Then, we relax the use of the complete CSI and only the exact phase information is employed together with channel envelope statistics (CS), and we develop another LRT based fusion rule named LRT–CS, which is computationally simpler to implement compared to LRT–CSI. Finally, we analyze the detection performance of all the proposed fusion rules through extensive numerical results.

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Notes

  1. Although we have assumed clusters with equal size K, the expressions and derivations are still same for the case of clusters with different sizes. Specifically, it is enough to replace K with K m , which denotes the size of the mth cluster.

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Authors and Affiliations

  1. Faculty of Engineering and Natural Sciences, Sabanci University, 34956, Istanbul, Turkey

    Kayhan Eritmen & Mehmet Keskinoz

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  1. Kayhan Eritmen
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  2. Mehmet Keskinoz
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Correspondence to Mehmet Keskinoz.

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Eritmen, K., Keskinoz, M. Distributed decision fusion over fading channels in hierarchical wireless sensor networks. Wireless Netw 20, 987–1002 (2014). https://doi.org/10.1007/s11276-013-0649-y

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