Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Distributed Clustering for Ad Hoc Networks
ISPAN '99 Proceedings of the 1999 International Symposium on Parallel Architectures, Algorithms and Networks
EnviroTrack: Towards an Environmental Computing Paradigm for Distributed Sensor Networks
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Policy-Driven Data Dissemination for Context-Aware Applications
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
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
An entity maintenance and connection service for sensor networks
Proceedings of the 1st international conference on Mobile systems, applications and services
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In-network processing is a powerful technique for reducing network traffic in an ad hoc network where network efficiency is a critical issue. When an in-network process collects data from multiple data sources, the node hosting the in-network process should be carefully selected to reduce network traffic. Existing metrics used to select the host node are unsatisfactory in this case, because they do not consider differences in the amount of data provided by each data source. In this paper, we propose a node selection metric called COLOR to solve this problem. COLOR value is derived from locations of data sources and the amount of data provided by them so that a data source that provides more data than the others has a stronger effect. Moreover, the communication overheads associated with COLOR are small, because parameters involved by COLOR can be collected during a data retrieval phase, which generally occurs in in-network processing. Simulation results show that data retrieval using COLOR produces less network traffic than that retrieved using existing metrics in environments where placements of data sources and the amount of data are nonuniform.