Titlebook: GeoSensor Networks; Third International Niki Trigoni,Andrew Markham,Sarfraz Nawaz Conference proceedings 2009 Springer-Verlag Berlin Heide

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0302-9743 Overview: 978-3-642-02902-8978-3-642-02903-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Genetic Algorithm for Clustering in Wireless Adhoc Sensor Networksodes into groups served by a high powered relay head, then forming a backbone among the relay heads for data transfer to the base station. We address this problem with a genetic algorithm (GA) as a search technique.

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Hyperellipsoidal SVM-Based Outlier Detection Technique for Geosensor Networksisting SVM-based outlier detection techniques designed for sensor networks. We also show that understanding data distribution and correlations among sensor data is essential to select the most suitable outlier detection technique.

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,Die Gesch?fts- und Bauführung,or a vast range of spatial correlations. In terms of costs and coding efficiency, our methods do not improve the performance of more sophisticated routing trees such as the shortest path tree, but they entail an easier manageability in case of node reconfigurations and update.