WSN Clustering Using IC-SVD Algorithms

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Show simple item record Chaczko, Zenon en_US
dc.contributor.editor Moreno D? az, Roberto; Pichler, Franz; Quesada Arencibia, Alexis en_US 2012-10-12T03:31:40Z 2012-10-12T03:31:40Z 2012 en_US
dc.identifier 2011001744 en_US
dc.identifier.citation Chaczko Zenon 2012, 'WSN Clustering Using IC-SVD Algorithms', Springer-Verlag Berlin Heidelberg 2012, Las Palmas de Gran Canaria, Spain, pp. 137-145. en_US
dc.identifier.issn 978-3-642-27578-4 en_US
dc.identifier.other B1 en_US
dc.description.abstract This chapter 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 ImmunoComputing 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. en_US
dc.language en_US
dc.publisher Springer-Verlag Berlin Heidelberg 2012 en_US
dc.relation.isbasedon en_US
dc.relation.isbasedon en_US
dc.title WSN Clustering Using IC-SVD Algorithms en_US
dc.parent Computer Aided Systems Theory, Eurocast 2011 en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Las Palmas de Gran Canaria, Spain en_US
dc.identifier.startpage 137 en_US
dc.identifier.endpage 145 en_US FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.for 100510 en_US
dc.personcode 011197 en_US
dc.percentage 50 en_US Wireless Communications en_US
dc.classification.type FOR-08 en_US
dc.edition EUROCAST 2011, Part II, LNCS 6928 en_US
dc.custom en_US en_US
dc.location.activity en_US
dc.description.keywords WSNs, Resource Management, Immuno-Computing, SVD en_US
dc.staffid en_US
dc.staffid 011197 en_US

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