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http://dx.doi.org/10.3745/KIPSTD.2009.16-D.2.177

Sensor Data Abstraction and Utilization in Environmental Monitoring System based on Geosensor Network  

Jung, Young-Jin (Univ. of Maine Visiting Scholar)
Publication Information
The KIPS Transactions:PartD / v.16D, no.2, 2009 , pp. 177-184 More about this Journal
Abstract
Environmental monitoring systems are widely developed for analyzing environment and understanding an ecosystem according to the advance of wireless communication and various sensing techniques. To extract useful information, it requires high cost for processing a query, because these systems have to handle huge volume of raw sensor data which is transmitted from a wide area in environmental monitoring applications. Besides, it is also hard to answer an user defined query which requests to check current and near future condition. In this paper, we propose the monitoring system structure for processing a user defined query for environmental monitoring. It also describes the utilization of sensor data filtering and abstraction model. The designed abstraction model which is based on the slope grid in GIS supports fast data access and update. To analyze condition, the extracted data from abstraction model of each sensor type is combined in a query processor. It is useful to provide meaningful information to users.
Keywords
Environmental Monitoring; Sensor Network; Sensor Data Abstraction; Geosensor; Slope Grid;
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  • Reference
1 Y. J. Jung, Y. K. Lee, D. G. Lee, M. Park, K. H. Ryu, H. C. Kim, K. O. Kim, 'A Framework of In-situ Sensor Data Processing System for Context Awareness,' ICIC, pp.124-129, 2006   DOI
2 A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler, J. Anderson, 'Wireless Sensor Networks for Habitat Monitoring,' ACM International Workshop on Wireless Sensor Networks and Applications, EUA, pp.88-97, 2002   DOI
3 Y. J. Jung, S. Nittel, 'Geosensor Data Abstraction for Environmental Monitoring Application,' GIScience, pp.168-180, 2008   DOI   ScienceOn
4 S. Madden, M. J. Franklin, J. M. Hellerstein, W. Hong, 'Tag: a tiny aggregation service for ad-hoc sensor networks,' SIGOPS Operating Systems Review, pp.31-46, 2002   DOI
5 D. Goldin, 'Faster In-Network Evaluation of Spatial Aggregation in Sensor Networks,' Int'l IEEE Conference On Data Engineering, pp.148, 2006   DOI
6 Mario Lopez, Joseph K. Berry, 'Use Surface Area for Realistic Calculations,' GeoWorld, pp.22-23, 2002
7 N. Xu, 'A Survey of Sensor Network Applications,' IEEE Communications Magazine, Vol.40, No.8, pp.102-114, 2002   DOI   ScienceOn
8 A. R. Ilka, C. Gilberto, A. Renato, M. V. M. Antonio, 'Data-Aware Clustering for Geosensor Networks Data Collection,' Anais XIII Simposio Brasileiro de Sensoriamento Remoto, INPE, pp.6059-6066, 2007
9 CORIE, http://www.ccalmr.ogi.edu/CORIE/
10 D. Tulone, S. Madden, 'PAQ: Time Series Forecasting For Approximate Query Answering In Sensor Networks,' Lecture Notes in Computer Science 3868, pp.21-37, 2006   DOI   ScienceOn
11 P. Rigaux, M. Scholl, A. Voisard, 'Spatial Databases with application to GIS,' Morgan Kaufmann Publishers, 2002
12 Generic Mapping tools, http://gmt.soest.hawaii.edu
13 D. Chu, A. Deshpande, J. M. Hellerstein, W. Hong, 'Approximate Data Collection in Sensor Networks using Probabilistic Models,' International Conference on Data Engineering, pp.48, 2006   DOI
14 E. Biagioni, K. Bridges, 'The application of remote sensor technology to assist the recovery of rare and endangered species,' In Special issue on Distributed Sensor Networks for the International Journal of High Performance Computing Applications, Vol.16, No.3, 2002
15 J. K. Hart, J. Rose., 'Approaches to the study of glacier bed deformation,' Quaternary International, Vol.86, pp.45-58, 2001   DOI   ScienceOn