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., 2005-01-312005-02-02.
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: ||Conference or Workshop Item (Paper)|
|Journal or Publication Title: ||Proceedings of the Second European Workshop on Wireless Sensor Networks, 2005.|
|Additional Information: ||©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.|
|Uncontrolled Keywords: ||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 representation|
|Subjects: ||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Departments: ||Faculty of Science and Technology > Lancaster Environment Centre|
|ID Code: ||27279|
|Deposited By: ||Mrs Yaling Zhang|
|Deposited On: ||14 Oct 2009 15:16|
|Last Modified: ||03 Dec 2016 01:27|
|Identification Number: |
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