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A ubiquitous sensor network platform for integrating smart devices into the semantic sensor web.

David Díaz Pardo de Vera¹, Alvaro Sigüenza Izquierdo², Jesús Bernat Vercher³

¹Universidad Politécnica de Madrid, GAPS-SSR, E.T.S.I. Telecomunicación, Avda. Complutense 30, 28040 Madrid, Spain. dpardo@gaps.ssr.upm.es.

Sensors (Basel, Switzerland)

|June 20, 2014

Summary

This study introduces a Telco Ubiquitous Sensor Network (USN) Platform for accessing and sharing heterogeneous sensor data. The platform enables smart devices to integrate and interpret real-world information, enhancing smart safety systems but facing challenges with complex query response times.

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Area of Science:

Computer Science
Ubiquitous Computing
Sensor Networks

Background:

Growing availability of heterogeneous sensor data from Sensor Web developments.
Increasing demand for standardized mechanisms to access, publish, and share real-world information.
Need for enhanced data accessibility for smart devices.

Purpose of the Study:

To present an architectural solution for a Telco Ubiquitous Sensor Network (USN) Platform.
To extend the USN-Platform with Semantic Sensor Web principles for richer data interpretation.
To evaluate the platform's performance in a smart car experimental scenario.

Main Methods:

Development and deployment of a Telco USN Platform embedding OGC Sensor Web services.
Extension of the platform to incorporate Semantic Sensor Web technologies.
Experimental validation using a smart car consuming and producing real-world data.

Main Results:

Observation publishing times are within acceptable limits for vehicle safety systems.
The Semantic Sensor Web approach allows smart devices to share semantically interpreted information.
Response times for complex queries on large datasets may be too slow for immediate reactions.

Conclusions:

The Telco USN Platform provides a viable architecture for integrating sensor data.
Semantic Sensor Web integration enhances data sharing capabilities for smart devices.
Further optimization is needed for query performance in time-critical applications.