A Biologically-Inspired Clustering Algorithm Dependent on Spatial Data in Sensor Networks.
Wokoma, Ibiso and Ling Shum, Lam and Sacks, Lionel and Marshall, Ian
(2005)
A Biologically-Inspired Clustering Algorithm Dependent on Spatial Data in Sensor Networks.
In: Proceedings of the Second European Workshop on Wireless Sensor Networks, 2005., 2005-01-31 - 2005-02-02.
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Abstract
Sensor networks in environmental monitoring applications aim to provide scientists with a useful spatio-temporal representation of the observed phenomena. This helps to deepen their understanding of the environmental signals that cover large geographic areas. In this paper, the spatial aspect of this data handling requirement is met by creating clusters in a sensor network based on the rate of change of an oceanographic signal with respect to space. Inspiration was drawn from quorum sensing, a biological process that is carried out within communities of bacterial cells. The paper demonstrates the control the user has over the sensitivity of the algorithm to the data variation and the energy consumption of the nodes while they run the algorithm.
Item Type:
Contribution to Conference
(Paper)
Journal or Publication Title:
Proceedings of the Second European Workshop on Wireless Sensor Networks, 2005.
Additional Information:
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Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
?? algorithm bacterial cell biological process data handling requirement energy consumption environmental monitoring application geographic area oceanographic signal quorum sensing scientists sensitivity sensor network sensor network cluster spatio-temporal ??
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Deposited On:
14 Oct 2009 14:16
Last Modified:
18 Oct 2024 00:03