IKNOS: inference and knowledge in networks of sensors

Authors:
Daniele Toscani;Francesco Archetti;Marco Frigerio;Enza Messina
Affiliations:
Consorzio Milano Ricerche, Milan, Italy.;Consorzio Milano Ricerche, Milan, Italy/ Department of Computer Science, Systems and Communication (/DISCO)/, University of Milano Bicocca, Milan, Italy.;Consorzio Milano Ricerche, Milan, Italy.;Department of Computer Science, Systems and Communication (/DISCO)/, University of Milano Bicocca, Milan, Italy
Venue:
International Journal of Sensor Networks
Year:
2010

Citing 27
Cited 1

Learning belief networks from data: an information theory based approach

CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Bayesian Network Classifiers

Machine Learning - Special issue on learning with probabilistic representations
The scientist and engineer's guide to digital signal processing

The scientist and engineer's guide to digital signal processing
Bayesian Networks and Decision Graphs

Bayesian Networks and Decision Graphs
WinBUGS – A Bayesian modelling framework: Concepts, structure, and extensibility

Statistics and Computing
Tutorial on maximum likelihood estimation

Journal of Mathematical Psychology
Taming the underlying challenges of reliable multihop routing in sensor networks

Proceedings of the 1st international conference on Embedded networked sensor systems
Distributed Bayesian Algorithms for Fault-Tolerant Event Region Detection in Wireless Sensor Networks

IEEE Transactions on Computers
A probabilistic approach to inference with limited information in sensor networks

Proceedings of the 3rd international symposium on Information processing in sensor networks
Adaptive stream resource management using Kalman Filters

SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
A resource--efficient time estimation for wireless sensor networks

Proceedings of the 2004 joint workshop on Foundations of mobile computing
Versatile low power media access for wireless sensor networks

SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Snapshot Queries: Towards Data-Centric Sensor Networks

ICDE '05 Proceedings of the 21st International Conference on Data Engineering
infer: A Bayesian Inference Approach towards Energy Efficient Data Collection in Dense Sensor Networks

ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
Blind decoding of multiple description codes over OFDM systems via sequential Monte Carlo

EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
Z-MAC: a hybrid MAC for wireless sensor networks

Proceedings of the 3rd international conference on Embedded networked sensor systems
Lightweight detection and classification for wireless sensor networks in realistic environments

Proceedings of the 3rd international conference on Embedded networked sensor systems
On Distributed Fault-Tolerant Detection in Wireless Sensor Networks

IEEE Transactions on Computers
Tinker: a tool for designing data-centric sensor networks

Proceedings of the 5th international conference on Information processing in sensor networks
Approximate Data Collection in Sensor Networks using Probabilistic Models

ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Minimal transmission power as distance estimation for precise localization in sensor networks

Proceedings of the 2006 international conference on Wireless communications and mobile computing
Interference-aware fair rate control in wireless sensor networks

Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Near-Optimal Node Clustering in Wireless sensor Networks for Environment Monitoring

AINA '07 Proceedings of the 21st International Conference on Advanced Networking and Applications
Model-driven data acquisition in sensor networks

VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Dynamic update of data analysis models in emergency systems

Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
A software architecture for the deployment of executable transformation models

Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
PAQ: time series forecasting for approximate query answering in sensor networks

EWSN'06 Proceedings of the Third European conference on Wireless Sensor Networks

Querying sensor data for environmental monitoring

International Journal of Sensor Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a framework for managing data from sensor of poor quality, with the objective to reduce at the same time the communication load and hence energy consumption. Each node in a wireless sensor network maintains a simple local model of the data it is collecting and sends its parameters to a central location (sink), where it is executed the global monitoring. Local models are used to simulate sensor's readings, minimising the need of communication with sensors and hence the consumption of their battery; they are updated locally, when sensor readings differ excessively from simulated data. At the sink the global model (a Bayesian Network) is learnt on the simulated data. It is used to identify and replace anomalous readings (outliers) that a sensor should have produced and to detect anomalies missed by any single node (when communication with a sensor is interrupted).