This book constitutes the proceedings of the Third International Conference on GeoSensor Networks, GSN 2009, held in Oxford, UK, on July 13-14, 2009. The 15 contributions presented together with 2 invited papers were carefully reviewed and selected from 32 submissions. This volume includes papers covering a variety of topics, ranging from sensing, routing and in-network processing, to data modelling, analysis and applications. It reflects the cross-disciplinary nature of geosensor networks by bringing together ideas from different fields, such as geographic information systems, distributed systems, wireless networks, distributed databases and data mining.
Inhaltsverzeichnis
Sensing and In-Network Processing. - Distributed Network Configuration for Wavelet-Based Compression in Sensor Networks. - Spatially-Localized Compressed Sensing and Routing in Multi-hop Sensor Networks. - Estimation of Pollutant-Emitting Point-Sources Using Resource-Constrained Sensor Networks. - Hyperellipsoidal SVM-Based Outlier Detection Technique for Geosensor Networks. - Routing. - Genetic Algorithm for Clustering in Wireless Adhoc Sensor Networks. - VGTR: A Collaborative, Energy and Information Aware Routing Algorithm for Wireless Sensor Networks through the Use of Game Theory. - Building Efficient Aggregation Trees for Sensor Network Event-Monitoring Queries. - Improving Chord Network Performance Using Geographic Coordinates. - Analysis and Modelling. - RFID Data Aggregation. - A Framework for Trajectory Clustering. - Preliminaries for Topological Change Detection Using Sensor Networks. - Applications and Interoperability. - On the Feasibility of Early Detection of Environmental Events through Wireless Sensor Networks and the Use of 802. 15. 4 and GPRS. - Deploying a Wireless Sensor Network in Iceland. - Efficient Viewpoint Selection for Urban Texture Documentation. - User Requirements and Future Expectations for Geosensor Networks An Assessment. - A Reference Architecture for Sensor Networks Integration and Management. - A Stimulus-Centric Algebraic Approach to Sensors and Observations.
