Object Tracking with Bayesian Estimation of Dynamic Layer Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reasoning about Gradual Changes of Topological Relationships
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
TiNA: a scheme for temporal coherency-aware in-network aggregation
Proceedings of the 3rd ACM international workshop on Data engineering for wireless and mobile access
Taming the underlying challenges of reliable multihop routing in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Report from the first workshop on geo sensor networks
ACM SIGMOD Record
Isolines: Energy-Efficient Mapping in Sensor Networks
ISCC '05 Proceedings of the 10th IEEE Symposium on Computers and Communications
Monitoring dynamic spatial fields using responsive geosensor networks
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Trio: enabling sustainable and scalable outdoor wireless sensor network deployments
Proceedings of the 5th international conference on Information processing in sensor networks
Deploying a Wireless Sensor Network on an Active Volcano
IEEE Internet Computing
Hole detection or: "how much geometry hides in connectivity?"
Proceedings of the twenty-second annual symposium on Computational geometry
Constraint chaining: on energy-efficient continuous monitoring in sensor networks
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Locating and bypassing holes in sensor networks
Mobile Networks and Applications
Coverage and hole-detection in sensor networks via homology
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Boundary recognition in sensor networks by topological methods
Proceedings of the 12th annual international conference on Mobile computing and networking
Approximate isocontours and spatial summaries for sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Iso-Map: Energy-Efficient Contour Mapping in Wireless Sensor Networks
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
Detecting basic topological changes in sensor networks by local aggregation
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Tracking deformable 2D objects in wireless sensor networks
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Event-based topology for dynamic planar areal objects
International Journal of Geographical Information Science
Preliminaries for Topological Change Detection Using Sensor Networks
GSN '09 Proceedings of the 3rd International Conference on GeoSensor Networks
COSIT'11 Proceedings of the 10th international conference on Spatial information theory
A unified framework for decentralized reasoning about gradual changes in topological relations
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
An algorithmic strategy for in-network distributed spatial analysis in wireless sensor networks
Journal of Parallel and Distributed Computing
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The research reported in this paper uses wireless sensor networks to provide salient information about spatially distributed dynamic fields, such as regional variations in temperature or concentration of a toxic gas. The focus is on deriving qualitative descriptions of salient changes to areas of high-activity that occur during the temporal evolution of the field. The changes reported include region merging or splitting, and hole formation or elimination. Such changes are formally characterized, and a distributed qualitative change reporting (QCR) approach is developed that detects the qualitative changes simply based on the connectivity between the sensor nodes without location information. The efficiency of the QCR approach is investigated using simulation experiments. The results show that the communication cost of the QCR approach in monitoring large-scale phenomena is an order of magnitude lower than that using the standard boundary-based data collection approach, where each node is assumed to have its location information.