By Topic

The Design of a Web-Sensor Network for Environmental Monitoring and Remote Control Applications by Data Fusion Techniques

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
De Capua, C. ; Univ. of Reggio Calabria, Calabria ; De Falco, S. ; Morello, R.

This paper proposes an innovative design of a Web-sensor network for environmental monitoring of the electromagnetic pollution. A remote control application allows to process acquired data and available information by an original data fusion procedure. The aim is to verify the compliance of the exposure levels to electromagnetic field with the limits established from law. The measurement system is a configurable network of wireless and smart Web-sensors distributed along an urban area. The implemented sensing units measure the electromagnetic field in high and low frequency ranges and, by General Packet Radio Service (GPRS) communication, acquired data are transmitted to WEB pages. By means of an original algorithm the whole area is divided in several local zones, where an equal number of sensors has the task to monitor specific zones. The clustering algorithm uses environmental and topographical information in order to configure the network and the monitoring map. So, the number and size of the zones are variable according to the desired resolution. A proposed Statistical Model allows to estimate the reliability curve over time of each sensor in order to get knowledge on its operating state. Starting from the available information, a remote workstation performs the data fusion procedure. Alarm and warning occurrences are singled out. A final report shows the zones which require greater attention so to plan suitable interventions on the area. Quality indexes provide indication on reliability and consistency of the result.

Published in:

Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE

Date of Conference:

1-3 May 2007