Effects of Compression and Window Size on Remote Acoustic Identification Using Sensor Networks

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Title Effects of Compression and Window Size on Remote Acoustic Identification Using Sensor Networks
Author Gonzalez, Ruben
Publication Title 4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010. Proceedings
Editor Beata J. and Tadeusz A. Wysocki
Year Published 2010
Place of publication United States
Publisher IEEE
Abstract Recently the cost-benefits of automated sensing over traditional field surveys for population management of fauna has been recognised [1,2]. Remote monitoring through automatic identification based on sensor networks has followed one of two approaches [3,7,18]; using the sensor nodes to perform data analysis within the network or alternatively using the sensor network as a means for collecting data to be centrally processed. In either case a key goal is minimising power consumption in sensor nodes which imposes constraints on both processing and communication capabilities. While the first approach aims to minimise communication requirements the other aims to reduce processing requirements. In the context of sensor networks for remote monitoring utilising centralised processing, this paper considers the impact on two different strategies for reducing communication requirements on the overall system performance.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/ICSPCS.2010.5709762
Copyright Statement Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 978-1-4244-7907-8
Conference name 4th International Conference on Signal Processing and Communication Systems (ICSPCS 2010)
Location Gold Coast, Australia
Date From 2010-12-13
Date To 2010-12-15
URI http://hdl.handle.net/10072/36808
Date Accessioned 2010-12-14
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Artificial Intelligence and Image Processing; Signal Processing; Wireless Communications
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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