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
Towards Sensor Database Systems
MDM '01 Proceedings of the Second International Conference on Mobile Data Management
Detecting Context in Distributed Sensor Networks by Using Smart Context-Aware Packets
ARCS '02 Proceedings of the International Conference on Architecture of Computing Systems: Trends in Network and Pervasive Computing
Congestion control and fairness for many-to-one routing in sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Synopsis diffusion for robust aggregation in sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
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
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Adaptive and decentralized operator placement for in-network query processing
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
A compiler for the smart space
AmI'07 Proceedings of the 2007 European conference on Ambient intelligence
Discovery of frequent distributed event patterns in sensor networks
EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
ALGOSENSORS'06 Proceedings of the Second international conference on Algorithmic Aspects of Wireless Sensor Networks
ActiSen: Activity-aware sensor network in smart environments
Pervasive and Mobile Computing
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We propose a novel context detection mechanism in Wireless Sensor Networks, called PROCON. In PROCON, context decisions are made in a distributed way, by cooperation of nodes connected through a context overlay on the network. As a result, the sensor network can deliver context level information, not low level sensing data, directly to proper actuators. Moreover, PROCON achieves highly efficient energy consumption compared to the existing centralized context detection mechanism. The analysis and simulation results show that the proposed mechanism outperforms the existing centralized mechanism in average energy consumption, capability of mitigating congestion to a base station, context service lifetime, and reliability.