WSN clustering using IC-SVD algorithms

Authors:
Zenon Chaczko
Affiliations:
FEIT, University of Technology, Sydney, Australia
Venue:
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part II
Year:
2011

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Abstract

This paper presents a new biomimetic approach for sensor placement, clustering and data routing in Wireless Sensor Networks that can be deployed and managed in ubiquitous applications such as: security, business, automation, home and healthcare, precision agriculture, ecosystem monitoring and many more. Since hierarchical clustering can reduce the resource usage in sensor networks, we investigate Immuno-Computing and SVD-based algorithms for sensor clustering, routing and management of sensornet resources. The simulation results show that the proposed approach can improve robustness and extend the life-span of network infrastructures.