Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Updating and Querying Databases that Track Mobile Units
Distributed and Parallel Databases - Special issue on mobile data management and applications
Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Principles of data mining
Machine Learning
Rumor routing algorthim for sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
GHT: a geographic hash table for data-centric storage
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
The cougar approach to in-network query processing in sensor networks
ACM SIGMOD Record
Current Approaches to Handling Imperfect Information in Data and Knowledge Bases
IEEE Transactions on Knowledge and Data Engineering
The Geometry of Uncertainty in Moving Objects Databases
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Impact of Network Density on Data Aggregation in Wireless Sensor Networks
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
The design of an acquisitional query processor for sensor networks
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Evaluating probabilistic queries over imprecise data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
GADT: A Probability Space ADT for Representing and Querying the Physical World
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Fjording the Stream: An Architecture for Queries Over Streaming Sensor Data
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
IEEE Transactions on Computers
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Beyond average: toward sophisticated sensing with queries
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
A collaborative approach to in-place sensor calibration
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Poster abstract: online data cleaning in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Sensor node selection for execution of continuous probabilistic queries in wireless sensor networks
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Approximate wireless sensor network health monitoring
IWCMC '07 Proceedings of the 2007 international conference on Wireless communications and mobile computing
Tracking sensor node operation deviations in wireless sensor networks
Proceedings of the 2nd ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Issues in data fusion for healthcare monitoring
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Robust and efficient aggregate query processing in wireless sensor networks
Mobile Networks and Applications
Fuzzy modeling for data cleaning in sensor networks
International Journal of Hybrid Intelligent Systems - Recent Advances in Intelligent Paradigms Fusion and Their Applications
Sensor network data fault types
ACM Transactions on Sensor Networks (TOSN)
Energy Adaptive Sensor Scheduling for Noisy Sensor Measurements
DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
Context reasoning using extended evidence theory in pervasive computing environments
Future Generation Computer Systems
An Algorithm for Treating Uncertainties in the Visualization of Pipeline Sensors' Datasets
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Sensor faults: Detection methods and prevalence in real-world datasets
ACM Transactions on Sensor Networks (TOSN)
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
A neuro-fuzzy approach for sensor network data cleaning
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
Robust preprocessing for health care monitoring framework
Healthcom'09 Proceedings of the 11th international conference on e-Health networking, applications and services
Web based medicine intake tracking application
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Provenance-based trustworthiness assessment in sensor networks
Proceedings of the Seventh International Workshop on Data Management for Sensor Networks
PAO: power-efficient attribution of outliers in wireless sensor networks
Proceedings of the Seventh International Workshop on Data Management for Sensor Networks
Online anomaly detection for sensor systems: A simple and efficient approach
Performance Evaluation
Declarative support for sensor data cleaning
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Supporting generalized context interactions
SEM'04 Proceedings of the 4th international conference on Software Engineering and Middleware
Sensor network data fault detection with maximum a posteriori selection and bayesian modeling
ACM Transactions on Sensor Networks (TOSN)
Belief based data cleaning for wireless sensor networks
Wireless Communications & Mobile Computing
An efficient method for cleaning dirty-events over uncertain data in WSNs
Journal of Computer Science and Technology - Special issue on Natural Language Processing
Packet-level attestation (PLA): A framework for in-network sensor data reliability
ACM Transactions on Sensor Networks (TOSN)
Collaborative calibration of on-chip thermal sensors using performance counters
Proceedings of the International Conference on Computer-Aided Design
Trustworthiness analysis of sensor data in cyber-physical systems
Journal of Computer and System Sciences
Middleware for pervasive computing: A survey
Pervasive and Mobile Computing
Decentralized checking of context inconsistency in pervasive computing environments
The Journal of Supercomputing
In-network approximate computation of outliers with quality guarantees
Information Systems
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Sensor networks have become an important source of data with numerous applications in monitoring various real-life phenomena as well as industrial applications and traffic control. Unfortunately, sensor data is subject to several sources of errors such as noise from external sources, hardware noise, inaccuracies and imprecision, and various environmental effects. Such errors may seriously impact the answer to any query posed to the sensors. In particular, they may yield imprecise or even incorrect and misleading answers which can be very significant if they result in immediate critical decisions or activation of actuators. In this paper, we present a framework for cleaning and querying noisy sensors. Specifically, we present a Bayesian approach for reducing the uncertainty associated with the data, that arise due to random noise, in an online fashion. Our approach combines prior knowledge of the true sensor reading, the noise characteristics of this sensor, and the observed noisy reading in order to obtain a more accurate estimate of the reading. This cleaning step can be performed either at the sensor level or at the base-station. Based on our proposed uncertainty models and using a statistical approach, we introduce several algorithms for answering traditional database queries over uncertain sensor readings. Finally, we present a preliminary evaluation of our proposed approach using synthetic data and highlight some exciting research directions in this area.