EnviS tag, scan, view: a location-based app for visualizing spatio temporal data from sensor cloud

Salim, F, Dela Pena, M, Petrov, Y, Sony, N, Wu, B and Saad Ahmed, . 2014, 'EnviS tag, scan, view: a location-based app for visualizing spatio temporal data from sensor cloud', in Mohamed Gaber, Rui Zhang, Jari Veijalainen, Mohamed Sharaf (ed.) Proceedings of the15th IEEE International Conference on Mobile Data Management 2014 (Volume 1), Brisbane; Australia, 15-18 July 2014, pp. 329-332.


Document type: Conference Paper
Collection: Conference Papers

Title EnviS tag, scan, view: a location-based app for visualizing spatio temporal data from sensor cloud
Author(s) Salim, F
Dela Pena, M
Petrov, Y
Sony, N
Wu, B
Saad Ahmed, .
Year 2014
Conference name IEEE MDM 2014
Conference location Brisbane; Australia
Conference dates 15-18 July 2014
Proceedings title Proceedings of the15th IEEE International Conference on Mobile Data Management 2014 (Volume 1)
Editor(s) Mohamed Gaber, Rui Zhang, Jari Veijalainen, Mohamed Sharaf
Publisher IEEE
Place of publication United States
Start page 329
End page 332
Total pages 4
Abstract This paper presents a smartphone app connected to a sensor cloud for spatio-temporal management and 3D visualization of data from ad-hoc wireless sensor networks (WSN) and Internet of Things (IoT). Many existing sensor cloud services and sensor data models do not consider usage for indoors. Although geospatial references, which consist of latitude and longitude, are often included in the data models, these are insufficient for indoor localization of wireless sensor networks. In this paper, we propose a data model for localizing sensors in indoor environment, a sensor cloud framework to manage sensor data as services in the cloud, and an app that includes and visualize sensor data in-situ with 3D visualization of sensor data on floor plans or maps. EnviS is an integrated sensor cloud and app toolkit, prototyped to evaluate this research. EnviS has been tested in three case studies: to manage environmental sensors in indoor spaces, to manage indoor tracking sensors, and to monitor vital signs from wearable wristbands.
Subjects Interorganisational Information Systems and Web Services
Database Management
Ubiquitous Computing
Keyword(s) sensor cloud
service computing
wireless sensor networks
data visualization
location-based services
spatiotemporal data management
DOI - identifier 10.1109/MDM.2014.47
Copyright notice © 2014 IEEE
ISBN 9781479957057
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