Distributed Vector Quantization over Sensor Network

A vector quantizer is a system for encoding the original data to reduce the bits needed for communication and storage saving while maintaining the necessary fidelity of the data. Signal processing over distributed network has received a lot of attention in recent years, due to the rapid development...

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Main Authors: Chunguang Li, Yiliang Luo
Format: Article
Language:English
Published: Wiley 2014-10-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2014/189619
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author Chunguang Li
Yiliang Luo
author_facet Chunguang Li
Yiliang Luo
author_sort Chunguang Li
collection DOAJ
description A vector quantizer is a system for encoding the original data to reduce the bits needed for communication and storage saving while maintaining the necessary fidelity of the data. Signal processing over distributed network has received a lot of attention in recent years, due to the rapid development of sensor network. Gathering data to a central processing node is usually infeasible for sensor network due to limited communication resource and power. As a kind of data compression methods, vector quantization is an appealing technique for distributed network signal processing. In this paper, we develop two distributed vector quantization algorithms based on the Linde-Buzo-Gray (LBG) algorithm and the self-organization map (SOM). In our algorithms, each node processes the local data and transmits the local processing results to its neighbors. Each node then fuses the information from the neighbors. Our algorithms remarkably reduce the communication complexity compared with traditional algorithms processing all the distributed data in one central fusion node. Simulation results show that both of the proposed distributed algorithms have good performance.
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series International Journal of Distributed Sensor Networks
spelling doaj-art-6d5416aa71cc4ea98eb4756ebcb25fe92025-08-20T02:06:12ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-10-011010.1155/2014/189619189619Distributed Vector Quantization over Sensor NetworkChunguang LiYiliang LuoA vector quantizer is a system for encoding the original data to reduce the bits needed for communication and storage saving while maintaining the necessary fidelity of the data. Signal processing over distributed network has received a lot of attention in recent years, due to the rapid development of sensor network. Gathering data to a central processing node is usually infeasible for sensor network due to limited communication resource and power. As a kind of data compression methods, vector quantization is an appealing technique for distributed network signal processing. In this paper, we develop two distributed vector quantization algorithms based on the Linde-Buzo-Gray (LBG) algorithm and the self-organization map (SOM). In our algorithms, each node processes the local data and transmits the local processing results to its neighbors. Each node then fuses the information from the neighbors. Our algorithms remarkably reduce the communication complexity compared with traditional algorithms processing all the distributed data in one central fusion node. Simulation results show that both of the proposed distributed algorithms have good performance.https://doi.org/10.1155/2014/189619
spellingShingle Chunguang Li
Yiliang Luo
Distributed Vector Quantization over Sensor Network
International Journal of Distributed Sensor Networks
title Distributed Vector Quantization over Sensor Network
title_full Distributed Vector Quantization over Sensor Network
title_fullStr Distributed Vector Quantization over Sensor Network
title_full_unstemmed Distributed Vector Quantization over Sensor Network
title_short Distributed Vector Quantization over Sensor Network
title_sort distributed vector quantization over sensor network
url https://doi.org/10.1155/2014/189619
work_keys_str_mv AT chunguangli distributedvectorquantizationoversensornetwork
AT yiliangluo distributedvectorquantizationoversensornetwork