Home > Publications
Home University of Twente
Prospective Students
Intranet (internal)

EEMCS EPrints Service

15126 Algorithms for energy efficient data extraction from wireless sensor networks for environmental monitoring applications
Home Policy Brochure Browse Search User Area Contact Help

Chatterjea, S. and Havinga, P.J.M. (2008) Algorithms for energy efficient data extraction from wireless sensor networks for environmental monitoring applications. In: Proceedings of International Workshop Sensing a Changing World 2008, 19-21 Nov 2008, Wageningen, The Netherlands. pp. 15-18. CGI report (CGI-08-005). Wageningen University and Research Centre. ISSN 1568-1874

Full text available as:

- Univ. of Twente only
311 Kb

Official URL:

Exported to Metis


Wireless sensor networks (WSNs) can provide high resolution spatial and temporal data for environmental applications if they are densely deployed. However, as the nodes which make up the network are typically battery operated, a major problem faced by WSNs is limited network lifetime. In order to extend network lifetime to several years, the radio transceiver and attached sensors need to be managed carefully to minimize power consumption. This paper provides an overview of two separate solutions that we are currently testing in a real-life application on the Great Barrier Reef (GBR). The first algorithm minimizes transmissions by taking advantage of spatial correlations of sensor readings while the second algorithm minimizes sensor sampling operations by taking advantage of the temporal correlations that exist between successive sensor readings. Both the solutions have been developed as part of our efforts together with the Australian Institute of Marine Science, to deploy a large scale WSN on the Great Barrier Reef (GBR). This network will be used to study the effects of global warming and agriculture on the coral reefs. Details of our deployment of sensor nodes on the GBR using buoys are also described.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-DSN: Dependable Systems and Networks
Research Project:Smart Surroundings, SENSEI: Integrating the PhySical with the Digital World of the Network of the Future
Uncontrolled Keywords:sensor networks,environmental monitoring
ID Code:15126
Deposited On:11 November 2009
More Information:statisticsmetis

Export this item as:

To request a copy of the PDF please email us request copy

To correct this item please ask your editor

Repository Staff Only: edit this item