Nurellari, E, McLernon, D, Ghogho, M et al. (1 more author) (2015) Distributed Optimal Quantization and Power Allocation for Sensor Detection Via Consensus. In: Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st. Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st, 11-14 May 2015, Glasgow. IEEE , 1 - 5 (5). ISBN 978-1-4799-8088-8
Abstract
We address the optimal transmit power allocation problem (from the sensor nodes (SNs) to the fusion center (FC)) for the decentralized detection of an unknown deterministic spatially uncorrelated signal which is being observed by a distributed wireless sensor network. We propose a novel fully distributed algorithm, in order to calculate the optimal transmit power allocation for each sensor node (SN) and the optimal number of quantization bits for the test statistic in order to match the channel capacity. The SNs send their quantized information over orthogonal uncorrelated channels to the FC which linearly combines them and makes a final decision. What makes this scheme attractive is that the SNs share with their neighbours just their individual transmit powers at the current states. As a result, the SN processing complexity is further reduced.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015, IEEE. This is an author produced version of a paper published in Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st. 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: | Distributed detection; distributed processing; soft decision; wireless sensor networks |
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 Jul 2015 14:17 |
Last Modified: | 16 Jan 2018 05:10 |
Published Version: | http://dx.doi.org/10.1109/VTCSpring.2015.7145785 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/VTCSpring.2015.7145785 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:84150 |