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Acoustic sensor networks for environmental monitoring

Cai, Jinhai, Ee, Dominic, Lau, Andy H., Mason, Richard S., Pham, Binh L., Roe, Paul, Zhang, Jinglan, & Gage, Stuart (2007) Acoustic sensor networks for environmental monitoring. In the 5th international conference on Embedded networked sensor systems, 6-9 November, Sydney, Australia.

Abstract

In this demonstration, we will show how smartphones can be used as a platform for monitoring environmental change, particularly with respect to birdlife. We have researched and implemented a platform using Microsoft smartphones for remotely monitoring birds. The platform comprises smartphones running a custom application for recording bird song. The application manages sensors in an autonomic fashion to ensure that they operate reliably for long periods of time in a power efficient manner. Recorded birdsong is uploaded to a relational database through the Telstra NextG network. This network is being rolled out throughout regional Australia and provides a powerful networking infrastructure for remote sensing. The nature of acoustic sensing means that large volumes of data are collected so data communication and optimisation is important. The sensors and hence recording can be remotely controlled through a web service interface.

Impact and interest:

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ID Code: 11234
Item Type: Conference Item (Poster)
Additional Information: The contents of this paper can be freely accessed online via the publisher's web page (see hypertext link).
Additional URLs:
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Database Management (080604)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2007 (please consult authors)
Copyright Statement: Copyright is held by the author/owner(s). SenSys’07, November 6–9, 2007, Sydney, Australia. ACM 1-59593-763-6/07/0011
Deposited On: 17 Dec 2007
Last Modified: 09 Jun 2010 22:51

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