Nurellari, E, McLernon, D, Ghogho, M et al. (1 more author) (2014) Quantized fusion rules for energy-based distributed detection in wireless sensor networks. In: Sensor Signal Processing for Defence (SSPD), 2014. Sensor Signal Processing for Defence, 08-09 Sep 2014, Edinburgh. Institute of Electrical and Electronics Engineers , 1 - 5. ISBN 978-1-4799-5293-9
Abstract
We consider the problem of soft decision fusion in a bandwidth-constrained wireless sensor network (WSN). The WSN is tasked with the detection of an intruder transmitting an unknown signal over a fading channel. A binary hypothesis testing is performed using the soft decision of the sensor nodes (SNs). Using the likelihood ratio test, the optimal soft fusion rule at the fusion center (FC) has been shown to be the weighted distance from the soft decision mean under the null hypothesis. But as the optimal rule requires a-priori knowledge that is difficult to attain in practice, suboptimal fusion rules are proposed that are realizable in practice. We show how the effect of quantizing the test statistic can be mitigated by increasing the number of SN samples, i.e., bandwidth can be traded off against increased latency. The optimal power and bit allocation for the WSN is also derived. Simulation results show that SNs with good channels are allocated more bits, while SNs with poor channels are censored.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014, IEEE. This is an author produced version of a paper published in Sensor Signal Processing for Defence (SSPD), 2014. Uploaded in accordance with the publisher's self-archiving policy. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
Keywords: | quantized fusion rules; sensor nodes; binary hypothesis testing; bandwidth-constrained wireless sensor network |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Apr 2015 13:28 |
Last Modified: | 23 Jan 2018 13:23 |
Published Version: | http://dx.doi.org/10.1109/SSPD.2014.6943313 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Identification Number: | 10.1109/SSPD.2014.6943313 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:84148 |