Open AccessSpatial TinyDB: A Spatial Sensor Database System for the USN Environment
Author(s) -
Dong-Oh Kim,
Lei Liu,
In-Su Shin,
Jeong-Joon Kim,
Ki-Joon Han
Publication year - 2013
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2013/512368
Subject(s) - computer science , spatial database , spatial analysis , database , wireless sensor network , sensor web , spatial query , real time computing , data mining , key distribution in wireless sensor networks , computer network , search engine , operating system , information retrieval , remote sensing , wireless network , sargable , wireless , web search query , geology
For the Ubiquitous Sensor Network (USN) environment, which generally uses spatial as well as aspatial sensor data, a sensor database system to manage these data is essential. For this reason, sensor database systems such as TinyDB and Cougar are being developed by researchers. However, as most of these systems do not support spatial data types and spatial operators for managing spatial sensor data, they are not suitable for the USN environment. Therefore, in this paper, we design and implement Spatial TinyDB which is a spatial sensor database system that extends TinyDB to support spatial data types and spatial operators for the efficient management of spatial sensor data. In particular, Spatial TinyDB provides memory management and filtering functions to reduce system overload caused by sensor data streams. Finally, we prove that Spatial TinyDB is superior by comparing its actual performance, in terms of execution time, accuracy, and memory usage, with that of TinyDB. © 2013 Dong-Oh Kim et al.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom