NSF Faculty Early Career Development Award (NSF CAREER award) (2005-2010)
This project explores data
management methods for
networks, i.e. large collections of very small, battery-driven sensor
nodes deployed in the geographic environment that measure
the temporal and spatial variations of physical quantities such as
temperature or ozone levels. An important task of such
networks is to collect, analyze and
estimate information about continuous phenomena under observation such
as a toxic cloud close to a chemical plant in real-time
and in an energy-efficient way. The main thrust of this project is the
integration of spatial data analysis techniques with
in-network data query execution in sensor networks. The project
investigates novel algorithms such as incremental, in-network
kriging that redefines a traditional, highly computationally-intensive
spatial data estimation method for a distributed, collaborative
and incremental processing between tiny, energy and bandwidth
constrained sensor nodes. This work includes the modeling of
location and sensing characteristics of sensor devices with regard to
observed phenomena, the support of temporal-spatial
estimation queries, and a focus on in-network data
algorithms for complex spatial estimation queries. Combining
high-level data query interfaces with advanced spatial analysis methods
will allow domain scientists to use sensor networks
effectively in environmental observation.
Data Manaagement for Geosensor Networks:
S. Nittel, A. Labrinidis, and A. Stefanidis, Advances in Geosensor Networks, Springer, LNCS 4540, August 2008.
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, September 23-26, 2008, Park City, Utah, Springer LNCS 5266, pp. 168-180.
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.
Quantitative Spatial Queries in 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.
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.
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).
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).
Geosensor Networks Laboratory
Last Modified: 2011/May