Wildlife and environmental monitoring using RFID and WSN technology

Vladimir Dyo; Stephen A. Ellwood; David W. Macdonald; Andrew Markham; Cecilia Mascolo; Bence Pásztor; Niki Trigoni; Ricklef Wohlers

doi:10.1145/1644038.1644107

Wildlife and environmental monitoring using RFID and WSN technology

Vladimir Dyo
, Stephen A. Ellwood
, David W. Macdonald
, Andrew Markham
, Cecilia Mascolo
, Bence Pásztor
, Niki Trigoni
, Ricklef Wohlers

Institute for Research in Engineering and Sustainable Environment (IRESE)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

21 Citations (Scopus)

Abstract

Wireless Sensor Networks enable scientists to collect information about the environment with a granularity unseen before, while providing numerous challenges to software designers. Since sensor devices are often powered by small batteries, which take considerable effort to replace, it is of major importance to use energy carefully. We present two efficient ways of extending the lifetime of such systems: 1. an adaptive duty cycling protocol and 2. an adaptive data management protocol. Further, we present some details of our deployed sensor network in Wytham Woods, Oxfordshire.

Original language	English
Title of host publication	nan
Publisher	Association for Computing Machinery
ISBN (Electronic)	978-1-60558-519-2
ISBN (Print)	978-1-60558-519-2
DOIs	https://doi.org/10.1145/1644038.1644107
Publication status	Published - 1 Jan 2009
Event	7th ACM Conference on Embedded Networked Sensor Systems SenSys '09 - Berkeley Duration: 1 Jan 2009 → …

Conference

Conference	7th ACM Conference on Embedded Networked Sensor Systems SenSys '09
City	Berkeley
Period	1/01/09 → …
Other	7th ACM Conference on Embedded Networked Sensor Systems SenSys '09 (Berkeley)

Keywords

environmental monitoring

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10.1145/1644038.1644107

http://portal.acm.org/citation.cfm%3Fdoid%3D1644038.1644107

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@inproceedings{4a62ee670ea548a4aab914a5148d15e1,

title = "Wildlife and environmental monitoring using RFID and WSN technology",

abstract = "Wireless Sensor Networks enable scientists to collect information about the environment with a granularity unseen before, while providing numerous challenges to software designers. Since sensor devices are often powered by small batteries, which take considerable effort to replace, it is of major importance to use energy carefully. We present two efficient ways of extending the lifetime of such systems: 1. an adaptive duty cycling protocol and 2. an adaptive data management protocol. Further, we present some details of our deployed sensor network in Wytham Woods, Oxfordshire.",

keywords = "environmental monitoring",

author = "Vladimir Dyo and Ellwood, \{Stephen A.\} and Macdonald, \{David W.\} and Andrew Markham and Cecilia Mascolo and Bence P{\'a}sztor and Niki Trigoni and Ricklef Wohlers",

year = "2009",

month = jan,

day = "1",

doi = "10.1145/1644038.1644107",

language = "English",

isbn = "978-1-60558-519-2",

booktitle = "nan",

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note = "7th ACM Conference on Embedded Networked Sensor Systems SenSys '09 ; Conference date: 01-01-2009",

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TY - GEN

T1 - Wildlife and environmental monitoring using RFID and WSN technology

AU - Dyo, Vladimir

AU - Ellwood, Stephen A.

AU - Macdonald, David W.

AU - Markham, Andrew

AU - Mascolo, Cecilia

AU - Pásztor, Bence

AU - Trigoni, Niki

AU - Wohlers, Ricklef

PY - 2009/1/1

Y1 - 2009/1/1

N2 - Wireless Sensor Networks enable scientists to collect information about the environment with a granularity unseen before, while providing numerous challenges to software designers. Since sensor devices are often powered by small batteries, which take considerable effort to replace, it is of major importance to use energy carefully. We present two efficient ways of extending the lifetime of such systems: 1. an adaptive duty cycling protocol and 2. an adaptive data management protocol. Further, we present some details of our deployed sensor network in Wytham Woods, Oxfordshire.

AB - Wireless Sensor Networks enable scientists to collect information about the environment with a granularity unseen before, while providing numerous challenges to software designers. Since sensor devices are often powered by small batteries, which take considerable effort to replace, it is of major importance to use energy carefully. We present two efficient ways of extending the lifetime of such systems: 1. an adaptive duty cycling protocol and 2. an adaptive data management protocol. Further, we present some details of our deployed sensor network in Wytham Woods, Oxfordshire.

KW - environmental monitoring

U2 - 10.1145/1644038.1644107

DO - 10.1145/1644038.1644107

M3 - Conference contribution

SN - 978-1-60558-519-2

BT - nan

PB - Association for Computing Machinery

T2 - 7th ACM Conference on Embedded Networked Sensor Systems SenSys '09

Y2 - 1 January 2009

ER -

Wildlife and environmental monitoring using RFID and WSN technology

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