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
Adaptive precision setting for cached approximate values
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
A symbolic representation of time series, with implications for streaming algorithms
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Exposing resource tradeoffs in region-based communication abstractions for sensor networks
ACM SIGCOMM Computer Communication Review
Towards parameter-free data mining
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Medians and beyond: new aggregation techniques for sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Supporting spatial aggregation in sensor network databases
Proceedings of the 12th annual ACM international workshop on Geographic information systems
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
REED: robust, efficient filtering and event detection in sensor networks
VLDB '05 Proceedings of the 31st international conference on Very large data bases
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Efficient Online State Tracking Using Sensor Networks
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Towards optimal sleep scheduling in sensor networks for rare-event detection
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Design of a wireless sensor network platform for detecting rare, random, and ephemeral events
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Entirely declarative sensor network systems
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Run-time dynamic linking for reprogramming wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Protothreads: simplifying event-driven programming of memory-constrained embedded systems
Proceedings of the 4th international conference on Embedded networked sensor systems
Programming sensor networks using abstract regions
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
Gestures are strings: efficient online gesture spotting and classification using string matching
Proceedings of the ICST 2nd international conference on Body area networks
Estimation of Pollutant-Emitting Point-Sources Using Resource-Constrained Sensor Networks
GSN '09 Proceedings of the 3rd International Conference on GeoSensor Networks
Fast track article: Design of smart sensing components for volcano monitoring
Pervasive and Mobile Computing
A hierarchical model for representation of events in multimedia observation systems
EiMM '09 Proceedings of the 1st ACM international workshop on Events in multimedia
Efficient pattern detection in extremely resource-constrained devices
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
DEAMON: energy-efficient sensor monitoring
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Multivariate time series classification by combining trend-based and value-based approximations
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
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We present a new approach for the detection of complex events in Wireless Sensor Networks. Complex events are sets of data points that correspond to interesting or unusual patterns in the underlying phenomenon that the network monitors. Our approach is inspired from time-series data mining techniques and transforms a stream of real-valued sensor readings into a symbolic representation. Complex event detection is then performed using distance metrics, allowing us to detect events that are difficult or even impossible to describe using traditional declarative SQL-like languages and thresholds. We have tested our approach with four distinct data sets and the experimental results were encouraging in all cases. We have implemented our approach for the TinyOS and Contiki Operating Systems, for the Sky mote platform.