Guo, Xiaoxi, He, Yuanyuan, Atapattu, Saman, Dey, Subhrakanti and Evans, Jamie S. (2018) Power Allocation for Distributed Detection Systems in Wireless Sensor Networks With Limited Fusion Center Feedback. IEEE Transactions on Communications, 66 (10). pp. 4753-4766. ISSN 0090-6778
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Abstract
We consider a distributed detection system for a wireless sensor network over slow-fading channels. Each sensor only has knowledge of quantized channel state information (CSI) which is received from the fusion center via a limited feedback channel. We then consider transmit power allocation at each sensor inorder to maximize a J-divergence based detection metric subject to a total and individual transmit power constraints. Our aim is to jointly design the quantization regions of all sensors CSI and the corresponding power allocations. A locally optimum solution is obtained by applying the generalized Lloyd algorithm (GLA). To overcome the high computational complexity of the GLA, we then propose a low-complexity nearoptimal scheme which performs very close to its GLA based counterpart. This enables us to explicitly formulate the problem and to find the unique solution despite the non-convexity of the optimization problem. An asymptotic analysis is also provided when the number of feedback bits becomes large. Numerical results illustrate that only a small amount of feedback is needed to achieve a detection performance close to the full CSI case.
Item Type: | Article |
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Keywords: | Power Allocation; Distributed Detection Systems; Wireless Sensor Networks; Limited Fusion Center Feedback; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 12696 |
Identification Number: | 10.1109/TCOMM.2018.2837101 |
Depositing User: | Subhrakanti Dey |
Date Deposited: | 02 Apr 2020 10:56 |
Journal or Publication Title: | IEEE Transactions on Communications |
Publisher: | IEEE |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/12696 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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