Proceedings of the 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021)

<Previous Article In Volume
Next Article In Volume>

Spatio-Temporal Data Model for Wireless Sensor Network

Authors
Kamel Abbassi1, *, Kamel khedhiri2, Tahar Ezzedine1, Adnen Cherif2
1Communication System Laboratory Sys’Com, National Engineering School of Tunis, University Tunis El Manar, BP 37, Belvedere,1002 Tunis
2ATSSEE Research Laboratory, Science Faculty of Tunis, University Tunis El Manar, BP 37, Belvedere,1002 Tunis, Tunisia.

This work is part of a Tunisian-South African cooperation scientific research project: Grant Numbers: 113340, 120106

Corresponding author: kamel.abbassi@enit.utm.tn
Corresponding Author
Kamel Abbassi
Available Online 2 February 2022.
DOI
10.2991/aisr.k.220201.035How to use a DOI?
Keywords
Wireless Sensor Network (WSN); Data Model; Snapshot; Geographic Information System (GIS); GeoUML
Abstract

The monitoring system based on a sensor network requires large databases due to the storage of measurements without checking their redundancies. In this paper, we propose an instantaneous spatio-temporal data model based on object-oriented concepts that considers the possibility of tracking data from different objects (sensors) for periodic or instantaneous events. Each sensor must record its measurement only when a significant change is applied to it. With our model, we have subdivided the save sets into several sub entities to minimize the space occupied and save only the relevant information. This approach allows to manage the saving of different data according to the needs of the user or the phenomenon to be monitored. It also reduces data redundancy and facilitates the execution of queries.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021)
Series
Advances in Intelligent Systems Research
Publication Date
2 February 2022
ISBN
10.2991/aisr.k.220201.035
ISSN
1951-6851
DOI
10.2991/aisr.k.220201.035How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

risenwbib
TY  - CONF
AU  - Kamel Abbassi
AU  - Kamel khedhiri
AU  - Tahar Ezzedine
AU  - Adnen Cherif
PY  - 2022
DA  - 2022/02/02
TI  - Spatio-Temporal Data Model for Wireless Sensor Network
BT  - Proceedings of the 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021)
PB  - Atlantis Press
SP  - 199
EP  - 205
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.220201.035
DO  - 10.2991/aisr.k.220201.035
ID  - Abbassi2022
ER  -