Aldalahmeh, S, Al-Jazzar, SO, McLernon, DC orcid.org/0000-0002-5163-1975 et al. (2 more authors) (2019) Fusion Rules for Distributed Detection in Clustered Wireless Sensor Networks with Imperfect Channels. IEEE Transactions on Signal and Information Processing over Networks, 5 (3). pp. 585-597. ISSN 2373-776X
Abstract
In this paper we investigate fusion rules for distributed detection in large random clustered-wireless sensor networks (WSNs) with a three-tier hierarchy; the sensor nodes (SNs), the cluster heads (CHs) and the fusion center (FC). The CHs collect the SNs' local decisions and relay them to the FC that then fuses them to reach the ultimate decision. The SN-CH and the CH-FC channels suffer from additive white Gaussian noise (AWGN). In this context, we derive the optimal log-likelihood ratio (LLR) fusion rule, which turns out to be intractable. So, we develop a sub-optimal linear fusion rule (LFR) that weighs the cluster's data according to both its local detection performance and the quality of the communication channels. In order to implement it, we propose an approximate maximum likelihood based LFR (LFR-aML), which estimates the required parameters for the LFR. We also derive Gaussian-tail upper bounds for the detection and false alarms probabilities for the LFR. Furthermore, an optimal CH transmission power allocation strategy is developed by solving the Karush-Kuhn-Tucker (KKT) conditions for the related optimization problem. Extensive simulations show that the LFR attains a detection performance near to that of the optimal LLR and confirms the validity of the proposed upper bounds. Moreover, when compared to equal power allocation, simulations show that our proposed power allocation strategy achieves a significant power saving at the expense of a small reduction in the detection performance.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. This is an author produced version of a paper published in IEEE Transactions on Signal and Information Processing over Networks. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Wireless sensor networks (WSNs); cluster head (CH); distributed detection; decision fusion; power allocation strategy; KKT conditions |
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) > Robotics, Autonomous Systems & Sensing (Leeds) |
Funding Information: | Funder Grant number British Council, UK Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Feb 2019 10:46 |
Last Modified: | 15 Aug 2019 10:23 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/TSIPN.2019.2901198 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:142421 |