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Managing heterogeneous data flows in wireless sensor networks using a 'split personality' mote platform.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

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Managing heterogeneous data flows in wireless sensor networks using a 'split personality' mote platform. / Hughes, Daniel; Daude, M.; Coulson, G. et al.
International Symposium on Applications and the Internet, 2008. SAINT 2008.. IEEE, 2008. p. 145-148.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Hughes, D, Daude, M, Coulson, G, Blair, G, Smith, P, Beven, K & Tych, W 2008, Managing heterogeneous data flows in wireless sensor networks using a 'split personality' mote platform. in International Symposium on Applications and the Internet, 2008. SAINT 2008.. IEEE, pp. 145-148, 2nd International Workshop on SensorWebs, Databases and Mining in Networked Sensing Systems, Turku, Finland, 1/07/08. https://doi.org/10.1109/SAINT.2008.44

APA

Vancouver

Hughes D, Daude M, Coulson G, Blair G, Smith P, Beven K et al. Managing heterogeneous data flows in wireless sensor networks using a 'split personality' mote platform. In International Symposium on Applications and the Internet, 2008. SAINT 2008.. IEEE. 2008. p. 145-148 doi: 10.1109/SAINT.2008.44

Author

Hughes, Daniel ; Daude, M. ; Coulson, G. et al. / Managing heterogeneous data flows in wireless sensor networks using a 'split personality' mote platform. International Symposium on Applications and the Internet, 2008. SAINT 2008.. IEEE, 2008. pp. 145-148

Bibtex

@inproceedings{ae58440fd42b4f74bb35c6b11463fc44,
title = "Managing heterogeneous data flows in wireless sensor networks using a 'split personality' mote platform.",
abstract = "Remote sensing applications are increasingly making use of sensors that generate demanding data flows (e.g. digital imaging devices). This paper presents the design of GridStix 1.5, a novel wireless sensor network platform that offers alternative high-performance and low-power 'personalities'. This two-tier approach allows GridStix 1.5 to provide power efficient support for sensors which produce simple data flows, and rich computational and network support for more demanding sensor types. Our approach is evaluated in the context of a deployed flood monitoring and warning system.",
keywords = "Adaptation, Environmental Monitoring , WSN",
author = "Daniel Hughes and M. Daude and G. Coulson and G. Blair and Paul Smith and K. Beven and W. Tych",
year = "2008",
month = jul,
doi = "10.1109/SAINT.2008.44",
language = "English",
isbn = "978-0-7695-3297-4",
pages = "145--148",
booktitle = "International Symposium on Applications and the Internet, 2008. SAINT 2008.",
publisher = "IEEE",
note = "2nd International Workshop on SensorWebs, Databases and Mining in Networked Sensing Systems ; Conference date: 01-07-2008",

}

RIS

TY - GEN

T1 - Managing heterogeneous data flows in wireless sensor networks using a 'split personality' mote platform.

AU - Hughes, Daniel

AU - Daude, M.

AU - Coulson, G.

AU - Blair, G.

AU - Smith, Paul

AU - Beven, K.

AU - Tych, W.

PY - 2008/7

Y1 - 2008/7

N2 - Remote sensing applications are increasingly making use of sensors that generate demanding data flows (e.g. digital imaging devices). This paper presents the design of GridStix 1.5, a novel wireless sensor network platform that offers alternative high-performance and low-power 'personalities'. This two-tier approach allows GridStix 1.5 to provide power efficient support for sensors which produce simple data flows, and rich computational and network support for more demanding sensor types. Our approach is evaluated in the context of a deployed flood monitoring and warning system.

AB - Remote sensing applications are increasingly making use of sensors that generate demanding data flows (e.g. digital imaging devices). This paper presents the design of GridStix 1.5, a novel wireless sensor network platform that offers alternative high-performance and low-power 'personalities'. This two-tier approach allows GridStix 1.5 to provide power efficient support for sensors which produce simple data flows, and rich computational and network support for more demanding sensor types. Our approach is evaluated in the context of a deployed flood monitoring and warning system.

KW - Adaptation

KW - Environmental Monitoring

KW - WSN

U2 - 10.1109/SAINT.2008.44

DO - 10.1109/SAINT.2008.44

M3 - Conference contribution/Paper

SN - 978-0-7695-3297-4

SP - 145

EP - 148

BT - International Symposium on Applications and the Internet, 2008. SAINT 2008.

PB - IEEE

T2 - 2nd International Workshop on SensorWebs, Databases and Mining in Networked Sensing Systems

Y2 - 1 July 2008

ER -