Publications

Working links and full papers can be found here!

Books:

• S. Nittel, A. Labrinidis, and A. Stefanidis  Advances in Geosensor Networks, Springer, LNCS 4540, August 2008. 
• A. Stefanidis, and S. Nittel: Geosensor Networks,  CRC Press, August 2004. 
• S. Nittel and R. de By (Editors), Proceedings of International ACM Symposium on “Geographic Information Systems” (ACM-GIS’06), Sheridan Publishers, Netherlands. 
• S. Nittel and D. Gunopulous (Editors), Proceedings of International Conference Scientific and Statistical Database Management”  (SSDBM), Boston, MA, IEEE Publishers, 2003.

Sensor Data Streams and Data Stream Engines

• I. Subasinghe, S. Nittel, M. Cressey, M. Landon, and P. Bajracharya, “Real-time Mapping of Natural Disasters Using Citizen Update Streams“, International Journal of Geographical Information Science (IJGIS), July 2019, doi.org/10.1080/13658816.2019.1639185
• Q. Liang, S. Nittel, J.C. Whittier, S. de Bruin, “Real-time inverse distance weighting interpolation for streaming sensor data“, Transactions of GIS, 22:1179–1204, 2018, DOI: 10.1111/tgis.12458
• J.C. Whittier, S. Nittel and I. Subasinghe, “Real-Time Earthquake Monitoring with Spatio-Temporal Fields“, 2nd International Symposium on “Spatiotemporal Computing“, Aug 7-9 2017 at Harvard, MA.
• Q. Liang, S. Nittel and T. Hahmann, From Data Streams to Fields: Extending Stream Data Models with Field Data Types, 9th International Conference on Geographic Information Science (GIScience), Montreal, Canada, September 2016.
• S. Nittel, 2015, SIGSPATIAL Newsletter, Special Issue “Geosensor Networks”, Vol. 7(2).
• S. Nittel, 2015, Real-time Sensor Data Streams, SIGSPATIAL Newsletter, Special Issue “Geosensor Networks”, Vol 7(2), pp. 22-28.
• J.C. Whittier, Q. Liang, and S. Nittel, Evaluating Predicates over Dynamic Fields, 5th International Workshop “Geostreaming” in conjunction with SIGSPATIAL 2014, Dallas, TX, November 2014.
• J.C. Whittier, S. Nittel, Q. Liang and M.A. Plummer, Towards Window Stream Queries over Continuous Phenomena, 4th International Workshop “Geostreaming” in conjunction with SIGSPATIAL 2013, Orlando, FL.
• S. Nittel, J.C. Whittier and Q. Liang, Real-time Spatial Interpolation of Continuous Environmental Phenomena using Mobile Sensor Data Streams, SIGSPATIAL 2012, Redondo Beach, CA, November 2012.
• S. Nittel, and Leung, K.: Parallelizing Clustering of Geoscientific Data Sets using Data Streams, International Conference on “Scientific and Statistical Data Base Management” (SSDBM), Santorini, Greece, June, 2004.
• S. Nittel, K. Leung, and A. Braverman: Scaling K-Means for Massive Data Sets using Data Streams, Proc. of International Conference on Data Engineering (ICDE), Boston, MA, March 30 – April 2, 2004.
• A. Braverman, E. Fetzer, A. Eldering, S. Nittel, K. Leung: Semi-Streaming Quantization for Remote-Sensing Data, Journal of Computational and Graphical Statistics, Special Issue on Massive Data Streams, Volume 12 Number 4, Issue Dec 2003.
• K. Ng, Z. Wang, R.R. Muntz, and S. Nittel, Dynamic Query Re-Optimization, International Conference on Scientific and Statistical Databases (SSDBM99), Cleveland, Ohio, July, 1999.
• S. Nittel, K. Ng, Z. Wang, and R.R. Muntz: Conquest: CONcurrent Queries over Space and Time (Full paper), International Workshop “Integrated Spatial Databases: Digital Images and GIS” (ISD’99) , Portland, Maine, June, 1999.

Using Ontologies to understand Geosensor Network Data

• T. Hahmann, S. Nittel and X. Gu, “Using Small Axiomatic Ontologies for Understanding Group Activities from Movement Sensor Data“, Workshop “Ontological Approaches to Sensor Data Analysis”, Buffalo, New York, May 19-20 2016.

Geosensor Networks

• S. Nittel A Survey of Geosensor Networks: Advances in Dynamic Environmental Monitoring,  Sensors 2009, 9(7), 5664-5678; doi:10.3390/s90705664, published: 15 July 2009.
• Y. J. Jung and S. Nittel, Geosensor Data Abstraction for Environmental Monitoring Applications,  GIScience, Park City, Utah, Springer LNCS, September 2008.
• Y.J. Jung, Y. K. Lee, D. G. Lee, K. H. Ryu, S. Nittel, Air Pollution Monitoring System using Geosensor Networks,  International Geoscience and Remote Sensing Symposium (IGARSS), Boston, MA, July 2008. 
• S. Nittel, A. Stefanidis, I. Cruz, M. Egenhofer, D. Goldin, A. Howard, A. Labrinidis, S. Madden, A. Voisard, and M. Worboys: Report from the First Workshop on Geo Sensor Networks SIGMOD record, Special Issue on “Sensor Network Technology Infrastructure, Security, Data processing, and Deployment”, Ed.Vijay Kumar, March, 2004.

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Spatial Window Estimation Queries for Continuous Phenomena using Geosensor Networks

• G. Jin and S. Nittel: Towards Spatial Window Queries Over Continuous Phenomena in Sensor Networks,  IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol 19(4), pp. 559-571, April 2008.  
• G. Jin and S. Nittel: UDC: A self-adaptive uneven clustering protocol for dynamic sensor network, International Journal of Sensor Networks, Vol 2. No 1/2, 2007, pp 25-33.
• S. Nittel, G. Jin, Y. Shiraishi,  In-Network Spatial Query Estimation in Sensor Networks,  IEICE Transactions (A), Vol.J88-A, No.12, pp.1413-1421, December 2005.
• G. Jin and S. Nittel: UDC: A self-adaptive uneven clustering protocol for dynamic sensor network, International Conference on Mobile Ad-hoc and Sensor Networks (MSN), Wuhan, China, 13 – 15 December 2005.

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Qualitative and Quantitative Detection and Tracking of Continuous Phenomena using Geosensor Networks

• G. Jin and S. Nittel, Efficient tracking of 2D objects with spatio-temporal properties in wireless sensor networks,  Journal of Parallel and Distributed Databases, Vol 29(1-2), pp.3-30. February 2011
• J. Jiang, M. Worboys and S. Nittel, Qualitative Change Detection in Sensor Networks based on Connectivity Information,  Geoinformatica, Vol 15, Issue 15(2), 2010, pp.305.
• G. Jin and S. Nittel, Supporting Spatio-Temporal Queries in Wireless Sensor Networks by Tracking Deformable 2D Objects,  ACM-GIS, Los Angeles, CA, Nov 2008.
• C. Farah, C. Zhong, M. Worboys and S. Nittel, Detecting Topological Change using Wireless Sensor Networks,  GIScience, Park City, Utah, September 2008. 
• G. Jin and S. Nittel: NED: Efficient Event Detection in Sensor Network Workshop “Mobile Location-Aware Sensor Networks”, in conjunction with MDM, Nara, Japan, May 13 2006. 
• M. Duckham, S. Nittel and M. Worboys: Monitoring dynamic spatial fields using responsive geosensor networks, ACM-GIS 2005, Bremen, Germany, November 2005. 

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Mobile Geosensor Networks

Ocean Drifter Sensor Networks

• N. Trigoni, K. Ferentinos, N. Pettigrew, and S. Nittel, Impact of drifter deployment on the quality of ocean sensing, in Advances in Geosensor Networks, Springer LNCS 4540, August 2008. 
• S. Nittel, N. Trigoni, K. Ferentinos, F. Neville, A. Nural, and N. Pettigrew A drift-tolerant model for data management in ocean sensor networks, MobiDE’07, in conjunction with SIGMOD, Bejing, China, 2007
• A. Nural, S. Nittel, N. Trigoni, and N. Pettigrew A model for motion pattern discovery in ocean drifter networks, Costal Environmental Sensing Networks Conference, Boston, MA, April 12-13 2007. 
• S. Nittel, N. Trigoni, N. and N. Pettigrew.  Data management in mobile ad-hoc ocean sensor networks,  NSF-sponsored Workshop on “Mobile Adhoc Sensor Networks”, Pittsburgh, PA, Jan 15-17 2007 (position paper).

Intelligent Transportation Systems

• S. Nittel, S. Winter, A. Nural, and T. Cao. Shared Ride Trip Planning using Geosensor Networks, In: H. Miller (Ed.), Societies and Cities in the Age of Instant Access, Springer, NL, 2007.
• S. Winter,  and S. Nittel: Ad-hoc shared ride trip planning by mobile geosensor networks, International Journal of Geographic Information Science, Vol 20(8):899-916 (2006).
• S. Winter,  and S. Nittel: Shared Ride Trip Planning in Geosensor Networks, In: Simonis, I. (Ed.), GI-Days 2005. Institute of Geoinformatics, University of Muenster, Germany.
• S. Nittel, M. Duckham, and L. Kulik: Information Dissemination in Mobile Ad-hoc Geosensor Networks, Third International Conference on Geographic Information Science (GIScience 2004), College Park, Maryland, October 2004, Springer Lecture Notes. 

Other:

• Young Jin Jung, Keun Ho Ryu, Moon Sun Shin, Silvia Nittel: Historical Index Structure for reducing Insertion and Search Cost in LBS Journal of System and Software, accepted for publication, 2010.

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Tiny Models for Wireless Sensor Networks

• Kraig King, S. Nittel:  Efficient Data Collection and Event Boundary Detection in Wireless Sensor Networks Using Tiny Models,  GIScience, Zurich, Switzerland, September 2010.