Energy efficient and robust CSIP algorithm in distributed wireless sensor networks

Authors:
Junyu Zhao;Jianming Wei;Qiang Pan;Zhiqiang Liang;Baoqing Li;Haitao Liu
Affiliations:
Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, PR China;Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, PR China;Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, PR China;Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, PR China;Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, PR China;Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, PR China
Venue:
Signal Processing
Year:
2008

Citing 11
Cited 1

Wireless Communications: Principles and Practice

Wireless Communications: Principles and Practice
Comparison of different implementations of MFCC

Journal of Computer Science and Technology
Energy-Efficient Communication Protocol for Wireless Microsensor Networks

HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Application-specific protocol architectures for wireless networks

Application-specific protocol architectures for wireless networks
Classification with incomplete survey data: a Hopfield neural network approach

Computers and Operations Research
High accuracy distributed target detection and classification in sensor networks based on mobile agent framework

High accuracy distributed target detection and classification in sensor networks based on mobile agent framework
GSEN: An Efficient Energy Consumption Routing Scheme for Wireless Sensor Network

ICNICONSMCL '06 Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies
Automatic recognition of animal vocalizations using averaged MFCC and linear discriminant analysis

Pattern Recognition Letters
Classification of acoustic events using SVM-based clustering schemes

Pattern Recognition
A novel and quick SVM-based multi-class classifier

Pattern Recognition
Speech enhancement based on a priori signal to noise estimation

ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02

Fast communication: Power scheduling of distributed estimation in sensor networks with repetition coding

Signal Processing

Quantified Score

Hi-index	0.08

Visualization

Abstract

This paper develops an energy efficient and robust collaborative signal and information processing (CSIP) algorithm and applies it to vehicle classification applications. The conventional algorithms collaboratively process all the time-series data from every node in the network. This signal-noise ratio (SNR)-based CSIP algorithm (SNRCSIP) collaboratively processes only the extracted features from part of the nodes. This algorithm efficiently reduces the energy consumption compared with the conventional algorithms by reducing the traffic. Apart from the energy efficiency, we demonstrate the robustness of the SNRCSIP algorithm by giving the high correct recognition ratio between the tracked vehicle and the wheeled vehicle with the acoustic features extracted by an improved form of mel filter bank (MFB), which is rarely applied in vehicle classification applications. Experimental results show that the SNRCSIP algorithm greatly reduces the energy consumption and achieves quite satisfied correct recognition ratio with the features extracted by the improved MFB.