Updating and Querying Databases that Track Mobile Units
Distributed and Parallel Databases - Special issue on mobile data management and applications
Advanced database indexing
On computing functions with uncertainty
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Adaptive precision setting for cached approximate values
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Best-effort cache synchronization with source cooperation
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
The Geometry of Uncertainty in Moving Objects Databases
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Managing Intervals Efficiently in Object-Relational Databases
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Offering a Precision-Performance Tradeoff for Aggregation Queries over Replicated Data
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Evaluating probabilistic queries over imprecise data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Querying Imprecise Data in Moving Object Environments
IEEE Transactions on Knowledge and Data Engineering
Mission-critical management of mobile sensors: or, how to guide a flock of sensors
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
On-line data reduction and the quality of history in moving objects databases
MobiDE '06 Proceedings of the 5th ACM international workshop on Data engineering for wireless and mobile access
Processing proximity queries in sensor networks
DMSN '06 Proceedings of the 3rd workshop on Data management for sensor networks: in conjunction with VLDB 2006
Efficient indexing methods for probabilistic threshold queries over uncertain data
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Management of data with uncertainties
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Modeling and querying vague spatial objects using shapelets
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Bandwidth-constrained queries in sensor networks
The VLDB Journal — The International Journal on Very Large Data Bases
Managing Probabilistic Data with MystiQ: The Can-Do, the Could-Do, and the Can't-Do
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Uncertainty-aware Wireless Sensor Networks
International Journal of Mobile Communications
Three Approximation Algorithms for Energy-Efficient Query Dissemination in Sensor Database System
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
RoboEarth: connecting robots worldwide
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Supervised learning algorithm for automatic adaption of situation templates using uncertain data
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
UR-tree: an efficient index for uncertain data in ubiquitous sensor networks
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
A unifying probability measure for logic-based similarity conditions on uncertain relational data
Proceedings of the 1st Workshop on New Trends in Similarity Search
Detecting proximity events in sensor networks
Information Systems
Supporting generalized context interactions
SEM'04 Proceedings of the 4th international conference on Software Engineering and Middleware
An efficient method for cleaning dirty-events over uncertain data in WSNs
Journal of Computer Science and Technology - Special issue on Natural Language Processing
DAGger: clustering correlated uncertain data (to predict asset failure in energy networks)
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
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Sensors are often employed to monitor continuously changing entities like locations of moving objects and temperature. The sensor readings are reported to a centralized database system, and are subsequently used to answer queries. Due to continuous changes in these values and limited resources (e.g., network bandwidth and battery power), the database may not be able to keep track of the actual values of the entities, and use the old values instead. Queries that use these old values may produce incorrect answers. However, if the degree of uncertainty between the actual data value and the database value is limited, one can place more confidence in the answers to the queries. In this paper, we present a frame-work that represents uncertainty of sensor data. Depending on the amount of uncertainty information given to the application, different levels of imprecision are presented in a query answer. We examine the situations when answer imprecision can be represented qualitatively and quantitatively. We propose a new kind of probabilistic queries called Probabilistic Threshold Query, which requires answers to have probabilities larger than a certain threshold value. We also study techniques for evaluating queries under different details of uncertainty, and investigate the tradeoff between data uncertainty, answer accuracy and computation costs.