GeoSensor Networks

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.

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.