A layered approach to in situ data management on a wireless sensor network

Author

Roadknight, Chris ; Parrott, Laura ; Boyd, Nathan ; Marshall, Ian W.

Author_Institution

BT pp2c, Suffolk, UK

fYear

2004

fDate

14-17 Dec. 2004

Firstpage

85

Lastpage

90

Abstract

A multi-layered algorithm is proposed that provides a scalable and adaptive method for handling data on a wireless sensor network. Statistical tests, local feedback and global genetic style material exchange ensure limited resources, such as battery and bandwidth, are used efficiently by manipulating data at the source and important features in the time series are not lost when compression needs to be made. The approach leads to a more ´hands off´ implementation which is demonstrated by a real world oceanographic deployment of the system.

Keywords

data communication; data compression; resource allocation; telecommunication network management; wireless sensor networks; bandwidth resources; battery resources; data compression; global genetic style material exchange; in situ data management; local feedback; multi-layered algorithm; oceanographic deployment; statistical tests; time series; wireless sensor network; Bandwidth; Batteries; Computer network management; Decision making; Intelligent networks; Monitoring; Sea measurements; Testing; Time measurement; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Proceedings of the 2004

Print_ISBN

0-7803-8894-1

Type

conf

DOI

10.1109/ISSNIP.2004.1417442

Filename

1417442