Distributed Binary Quantization of a Noisy Source in Wireless Sensor Networks
Joint Authors
Movaghati, Sahar
Ardakani, Masoud
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-12
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In distributed (decentralized) estimation in wireless sensor networks, an unknown parameter must be estimated from some noisy measurements collected at different sensors.
Due to limited communication resources, these measurements are typically quantized before being sent to a fusion center, where an estimation of the unknown parameter is calculated.
In the most stringent condition, each measurement isconverted to a single bit.
In this study, we propose a distributed quantization scheme which is based on single-bit quantized data from each sensor and achieves high estimation accuracy at the fusion centre.
We do this by designing some local binary quantizers which define a multithreshold quantization rule for each sensor.
These local binary quantizers are initially designed so that together they mimic thefunctionality of a multilevel quantizer.
Later, their design is improved to include some error-correcting capability, which further improves the estimation accuracy from the sensors’ binary data.
The distributedquantization formed by such local binary quantizers along with the proper estimator proposed in this work achieves better performance, compared to the existing distributed binary quantization methods, speciallywhen fewer sensors with low measurement noise are available.
American Psychological Association (APA)
Movaghati, Sahar& Ardakani, Masoud. 2014. Distributed Binary Quantization of a Noisy Source in Wireless Sensor Networks. Journal of Sensors،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1042938
Modern Language Association (MLA)
Movaghati, Sahar& Ardakani, Masoud. Distributed Binary Quantization of a Noisy Source in Wireless Sensor Networks. Journal of Sensors No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1042938
American Medical Association (AMA)
Movaghati, Sahar& Ardakani, Masoud. Distributed Binary Quantization of a Noisy Source in Wireless Sensor Networks. Journal of Sensors. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1042938
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042938