Power Allocation for Distributed Detection Systems in Wireless Sensor Networks With Limited Fusion Center Feedback

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...

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Published inIEEE transactions on communications Vol. 66; no. 10; pp. 4753 - 4766
Main Authors Guo, Xiaoxi, He, Yuanyuan, Atapattu, Saman, Dey, Subhrakanti, Evans, Jamie S.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.10.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Allocations
Channel estimation
Complexity
Convexity
Distributed detection
Divergence
Electric power distribution
Feedback
finite-rate feedback
Indexes
J-divergence
Measurement
Optimization
Power management
Quantization (signal)
quantized power allocation
Remote sensors
Resource management
Sensors
Wireless sensor networks
Online AccessGet full text
ISSN0090-6778
1558-0857
1558-0857
DOI10.1109/TCOMM.2018.2837101

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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 in order 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 near-optimal 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.
AbstractList 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 in order 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 near-optimal 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.
Author Guo, Xiaoxi
Atapattu, Saman
Dey, Subhrakanti
Evans, Jamie S.
He, Yuanyuan
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Snippet We consider a distributed detection system for a wireless sensor network over slow-fading channels. Each sensor only has knowledge of quantized channel state...
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SubjectTerms Allocations
Channel estimation
Complexity
Convexity
Distributed detection
Divergence
Electric power distribution
Feedback
finite-rate feedback
Indexes
J-divergence
Measurement
Optimization
Power management
Quantization (signal)
quantized power allocation
Remote sensors
Resource management
Sensors
Wireless sensor networks
Title Power Allocation for Distributed Detection Systems in Wireless Sensor Networks With Limited Fusion Center Feedback
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