Use of modular architectures for time series prediction
Neural Processing Letters
Next century challenges: mobile networking for “Smart Dust”
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Wireless integrated network sensors
Communications of the ACM
NiagaraCQ: a scalable continuous query system for Internet databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Continuous queries over data streams
ACM SIGMOD Record
Efficient Numerical Error Bounding for Replicated Network Services
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Double exponential smoothing: an alternative to Kalman filter-based predictive tracking
EGVE '03 Proceedings of the workshop on Virtual environments 2003
Low-Power Wireless Sensor Networks
VLSID '01 Proceedings of the The 14th International Conference on VLSI Design (VLSID '01)
Adaptive filters for continuous queries over distributed data streams
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Fjording the Stream: An Architecture for Queries Over Streaming Sensor Data
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Streaming queries over streaming data
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Monitoring streams: a new class of data management applications
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Location-Dependent Queries in Mobile Contexts: Distributed Processing Using Mobile Agents
IEEE Transactions on Mobile Computing
STAR: self-tuning aggregation for scalable monitoring
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
SBBD '08 Proceedings of the 23rd Brazilian symposium on Databases
A query processor for prediction-based monitoring of data streams
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Towards in-network data prediction in wireless sensor networks
Proceedings of the 2010 ACM Symposium on Applied Computing
Filtering duplicate items over distributed data streams
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Filter indexing: a scalable solution to large subscription based systems
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
Research on prediction models over distributed data streams
WISE'06 Proceedings of the 7th international conference on Web Information Systems
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Recent years have witnessed an increasing interest in filtering of distributed data streams, such as those produced by networked sensors. The focus is to conserve bandwidth and sensor battery power by limiting the number of updates sent from the source while maintaining an acceptable approximation of the value at the sink. We propose a novel technique called Predictive Filtering. We use matching predictors at the source and the sink simultaneously to predict the next update. The update is streamed only when the difference between the actual and the predicted value at the source increases beyond a threshold. Different predictors can be plugged into our framework, and we present a comparison of the effectiveness of various predictors. Through experiments performed on a bee-motion tracking log we demonstrate the effectiveness of our algorithm in limiting the number of updates while maintaining a good approximation of the streamed data at the sink.