Title
Distributed Optimal Quantization And Power Allocation For Sensor Detection Via Consensus
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.
Year
Venue
Keywords
2015
2015 IEEE 81ST VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING)
Distributed detection, distributed processing, soft decision, wireless sensor networks
Field
DocType
Volume
Sensor node,Key distribution in wireless sensor networks,Transmitter power output,Computer science,Brooks–Iyengar algorithm,Computer network,Electronic engineering,Distributed algorithm,Quantization (signal processing),Channel capacity,Wireless sensor network
Journal
abs/1506.01204
ISSN
Citations 
PageRank 
2577-2465
1
0.35
References 
Authors
11
4
Name
Order
Citations
PageRank
Edmond Nurellari1233.88
Desmond C. McLernon222936.55
Mounir Ghogho31072113.80
Syed Ali Raza Zaidi417423.13