Handling spatio-temporal sensor data in global geographical context with SENSORD

Authors:
Takeshi Ikeda;Yutaka Inoue;Akio Sashima;Koichi Kurumatani
Affiliations:
National Institute of Advanced Industrial Science and Technology, CREST, JST, Koto, Tokyo, Japan;National Institute of Advanced Industrial Science and Technology, CREST, JST, Koto, Tokyo, Japan;National Institute of Advanced Industrial Science and Technology, CREST, JST, Koto, Tokyo, Japan;National Institute of Advanced Industrial Science and Technology, CREST, JST, Koto, Tokyo, Japan
Venue:
UCS'07 Proceedings of the 4th international conference on Ubiquitous computing systems
Year:
2007

Citing 9
Cited 1

Bibliography on spatiotemporal databases

ACM SIGMOD Record
Cyberguide: a mobile context-aware tour guide

Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
Implementing a Sentient Computing System

Computer
Moving Objects Databases: Issues and Solutions

SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
Design and implementation of spatiotemporal database query processing system

Journal of Systems and Software
MASTAQ: A Middleware Architecture for Sensor Applications with Statistical Quality Constraints

PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Spatio-temporal sensor data management for context-aware services: designing sensor-event driven service coordination middleware

Proceedings of the 1st international workshop on Advanced data processing in ubiquitous computing (ADPUC 2006)
Event detection services using data service middleware in distributed sensor networks

IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Predestination: inferring destinations from partial trajectories

UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing

ComPass system: an low power wireless sensor network system and its application to indoor positioning

CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

It is important to manage sensors' locations and their attributes in a coordinated manner to realize context-aware services based on sensing data. A coordinated means of management is also necessary for middleware providing various information services. We have been developing Sensor-Event-Driven Service Coordination Middleware (SENSORD) to realize uniform management of various sensors, their locations and their attributes and higher-level service. It provides sensor locations for users using a unified view with region-specific geographical information, so SENSORD provides data access interfaces like GIS. Sensor locations are a component of that spatial information. Therefore, it is effective to aggregate them into geographical information. In this paper, we first describe SENSORD. Second, we explain methods of managing spatial information and the computational flow of acquiring sensor location information. Moreover, we show an application of SENSORD: an indoor emergency response system in our laboratories.