Title :
Towards Detecting Extremely Low Frequency Fields Using a Wireless Sensor Network
Author :
Hambly, Jason T. ; Zia, Tanveer A.
Author_Institution :
Sch. of Comput. & Math., Charles Sturt Univ., Wagga Wagga, NSW, Australia
Abstract :
Electromagnetic fields naturally and invisibly exist around us. We have been gradually engulfed by them due to our dependency on technology. Even with concerns that continuous exposure to power and communication fields has devastating effects on our health, we are increasing our demands for it every year. This increase does not seem to end or slow down. With our desire for new technology and with the increasing population, we are potentially placing ourselves in more and more danger. This paper focuses on an interesting and novel approach in detecting Extremely Low Frequency (ELF) magnetic power fields using a Wireless Sensor Network (WSN). This approach is introduced by the work in progress towards a sensor that will perform data collection on ELF magnetic fields for the forthcoming research.
Keywords :
electromagnetic fields; microwave detectors; wireless sensor networks; ELF magnetic power field detection; WSN; communication fields; data collection; electromagnetic fields; extremely low frequency magnetic power field detection; power fields; wireless sensor network; Coils; Geophysical measurement techniques; Ground penetrating radar; Robot sensing systems; Temperature measurement; Wireless sensor networks; Electromagnetic fields; Extremely low frequency; Wireless sensor networks;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2011 12th ACIS International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4577-0896-1
DOI :
10.1109/SNPD.2011.25