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

Hughes, Daniel and Daude, M. and Coulson, G. and Blair, G. and Smith, Paul and Beven, K. and 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, Turku, Finland, pp. 145-148. ISBN 978-0-7695-3297-4

Full text not available from this repository.

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.

Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
ID Code:
53821
Deposited By:
Deposited On:
26 Apr 2012 16:18
Refereed?:
Yes
Published?:
Published
Last Modified:
29 Jan 2020 06:57