DocumentCode
167866
Title
Electromagnetic field strength distribution in Wi-Fi signals covered areas: An experimental analysis of the variables that influence the exposure levels
Author
Bechet, P. ; Miclaus, S. ; Stratakis, D. ; Miaoudakis, A.
Author_Institution
Dept. of Tech. Sci., Land Forces Acad., Sibiu, Romania
fYear
2014
fDate
16-18 Oct. 2014
Firstpage
466
Lastpage
470
Abstract
The assessment of exposure to the radiation emitted by wireless devices need to take into account the complexity of WLAN networks and the quasi-stochastic nature of Wi-Fi signals. By analyzing only the maximum possible field strength and the traffic in such networks, one cannot accurately express the human exposure level. The type of transmitted information and the transmission protocol are factors that have significant influence on the field distribution in time and in amplitude. At the same transmission rate substantial differences may occur, depending on the traffic direction. All these aspects are analyzed here in different operating scenarios of WLAN devices within a network. The results of this paper show that the real electric field levels may vary between 15% and 80% of the maximum field strength - when measurements are made in the frequency domain only.
Keywords
biological effects of fields; electromagnetic fields; frequency-domain analysis; telecommunication traffic; transport protocols; wireless LAN; WLAN device; WLAN network complexity; Wi-Fi signal; electromagnetic field strength distribution; frequency domain; human exposure; information transmission; transmission protocol; variable experimental analysis; wireless fidelity device; wireless local area network traffic; Antenna measurements; Frequency-domain analysis; IEEE 802.11 Standards; Wireless LAN; Workstations; YouTube; Exposure assessement; Stochastic signals; Weighting method; Wireless Local Area Network (WLAN);
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Power Engineering (EPE), 2014 International Conference and Exposition on
Conference_Location
Iasi
Type
conf
DOI
10.1109/ICEPE.2014.6969951
Filename
6969951
Link To Document