Title :
Database Abstractions for Managing Sensor Network Data
Author_Institution :
Comput. Sci. & Artificial Intell. Lab. (CSAIL), Massachusetts Inst. of Technol. (MIT), Cambridge, MA, USA
Abstract :
Sensor networking hardware, networking, and operating system software has matured to the point that the major challenges facing the field now have to do with storing, cleaning, and querying the data such networks produce. In this paper, we survey several research systems designed for managing sensor data using declarative database-like abstractions from the database community and specifically the Massachusetts Institute of Technology (MIT, Cambridge) database group. The systems we discuss are designed to help prioritize data collection in the face of intermittent bandwidth, clean and smooth data using statistical models stored inside the database, and run declarative queries over probabilistic data.
Keywords :
data structures; database management systems; intelligent sensors; query processing; statistical analysis; Massachusetts Institute of Technology; data management; database abstraction; declarative queries; operating system software; probabilistic data; sensor network data; sensor networking hardware; statistical model; Bandwidth; Data models; Databases; Hardware; Mathematical model; Portals; Temperature sensors; Database management systems; database query processing; intelligent sensors;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/JPROC.2010.2063691