Title: Challenges for Data Mining in Distributed Sensor Networks
Authors: LOMBARDI PAOLOCANTONI VirginioLOMBARDI Luca
Citation: Proceedings of the 18th International Conference on Pattern Recognition ICPR2006 vol. 4 p. 1000-1007
Publisher: IEEE Computer Society
Publication Year: 2006
JRC N°: JRC35112
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC35112
Type: Contributions to Conferences
Abstract: The way of collecting sensor data will face a revolution when the newly developing technology of distributed sensor networks becomes fully functional and widely available. Smart sensors will acquire full interconnection capabilities with similar devices, so that run-time data aggregation, parallel computing, and distributed hypothesis formation will become reality with off-the-shelf components and sensor boards. This revolution started around ten years ago, and now hardware and network are converging on the first convincing solutions. Exploring and exploiting this paradigm are a renovated challenge for the pattern recognition and data mining community. This paper attempts a survey on state-of-the-art of wireless sensor technology, with an eye on data-related problems and technological limits. Although the possibilities seem promising, the today limited computational resources of individual nodes hamper the elaboration of data with recent, computationally-intensive algorithms. New software paradigms must be developed, both creating new techniques or adapting, for network computing, old algorithms of earlier ages of computing.
JRC Institute:Institute for the Protection and Security of the Citizen

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.