Spatio-temporal sensor data processing techniques

被引:4
|
作者
Kim J.-J. [1 ]
机构
[1] Dept. of Computer Science and Engineering, Korea Polytechnic University, Siheung
来源
Kim, Jeong-Joon (jjkim@kpu.ac.kr) | 1600年 / Korea Information Processing Society卷 / 13期
基金
新加坡国家研究基金会;
关键词
Multi-dimensional operator; Multi-dimensional Spatio-temporal data Type; Sensor Networks; Sensor query processing system;
D O I
10.3745/JIPS.04.0047
中图分类号
学科分类号
摘要
As technologies related to sensor network are currently emerging and the use of GeoSensor is increasing along with the development of Internet of Things (IoT) technology, spatial query processing systems to efficiently process spatial sensor data are being actively studied. However, existing spatial query processing systems do not support a spatial-temporal data type and a spatial-temporal operator for processing spatialtemporal sensor data. Therefore, they are inadequate for processing spatial-temporal sensor data like GeoSensor. Accordingly, this paper developed a spatial-temporal query processing system, for efficient spatial-temporal query processing of spatial-temporal sensor data in a sensor network. Lastly, this paper verified the utility of System through a scenario, and proved that this system's performance is better than existing systems through performance assessment of performance time and memory usage. © 2017 KIPS.
引用
收藏
页码:1259 / 1276
页数:17
相关论文
共 50 条
  • [1] Feature Engineering Techniques and Spatio-Temporal Data Processing
    Forke, Chris-Marian
    Tropmann-Frick, Marina
    Tropmann-Frick, Marina (marina.tropmann-frick@haw-hamburg.de), 1600, Springer Medizin (21): : 237 - 244
  • [2] Exploiting spatio-temporal correlations for data processing in sensor networks
    Deligiannakis, Antonios
    Kotidis, Yannis
    GEOSENSOR NETWORKS, 2008, 4540 : 45 - +
  • [3] Spatio-Temporal Sensor Graphs (STSG): A data model for the discovery of spatio-temporal patterns
    George, Betsy
    Kang, James M.
    Shekhar, Shashi
    INTELLIGENT DATA ANALYSIS, 2009, 13 (03) : 457 - 475
  • [4] Data analysis and processing for spatio-temporal forecasting
    Lee, Hyoungwoo
    Choo, Jaegul
    20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2020), 2020, : 737 - 739
  • [5] Spatio-Temporal Functional Dependencies for Sensor Data Streams
    Charfi, Manel
    Gripay, Yann
    Petit, Jean-Marc
    ADVANCES IN SPATIAL AND TEMPORAL DATABASES, SSTD 2017, 2017, 10411 : 182 - 199
  • [6] Efficient Processing of Spatio-Temporal Joins on IoT Data
    Lee, Ki Yong
    Seo, Minji
    Lee, Ryong
    Park, Minwoo
    Lee, Sang-Hwan
    IEEE ACCESS, 2020, 8 : 108371 - 108386
  • [7] Spatio-Temporal Gridded Data Processing on the Semantic Web
    Andrejev, Andrej
    Misev, Dimitar
    Baumann, Peter
    Risch, Tore
    2015 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND DATA INTENSIVE SYSTEMS, 2015, : 38 - 45
  • [8] A Spatio-Temporal Linked Data Representation for Modeling Spatio-Temporal Dialect Data
    Scholz, Johannes
    Hrastnig, Emanual
    Wandl-Vogt, Eveline
    PROCEEDINGS OF WORKSHOPS AND POSTERS AT THE 13TH INTERNATIONAL CONFERENCE ON SPATIAL INFORMATION THEORY (COSIT 2017), 2018, : 275 - 282
  • [9] Spatio-temporal functional data analysis for wireless sensor networks data
    Lee, D. -J.
    Zhu, Z.
    Toscas, P.
    ENVIRONMETRICS, 2015, 26 (05) : 354 - 362
  • [10] Distributed processing of big mobility data as spatio-temporal data streams
    Zdravko Galić
    Emir Mešković
    Dario Osmanović
    GeoInformatica, 2017, 21 : 263 - 291