WSN clustering using IC-SVD algorithms

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2012, 6928 LNCS pp. 137 - 145
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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. © 2012 Springer-Verlag.
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