Naslov
Application of Biomimetics Intelligence for Smart Sesnor Surveillance System in Legacy Powerline Network

Autori
Chanyagorn, Pornchai ; Szu, Harold ; Kopriva, Ivica

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proc. of the 2003 IEEE International Joint Conference on Neural Networks / - : Institute of Electrical and Electronics Engineers (IEEE), 2003, Vol. I, 631-635

Skup
2003 IEEE International Joint Conference on Neural Networks

Mjesto i datum
Portland (OR), Sjedinjene Američke Države, 20.07.2003. - 24.07.2003

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Powerline communications; underdtermined blind source separation;

Sažetak
In multiple access communication, an addressing code, encapsulated information of senders or receivers, is essential for a correct data communication. However, it occupies a part of the data payload, which causes reduction in bandwidth utilization. This may not be a problem provided that communication channel has a large bandwidth. One may say that Code Division Multiple Access (CDMA) can encapsulate the code without occupying any data payload. However, many communication channels have, due to their physical characteristics, a small bandwidth available, which makes them not suitable for CDMA communications. Low frequency band powerlines (< 0.5 MHz) is an example of such a channel because they are not designed for data transmission purpose. Usage of the low frequency band, however, makes the system insensitive to the structure of the power grid, where many locations do not lend themselves to modification of the network. This paper describes an idea of communications without addressing in low frequency band (< 0.5MHz) powerline network using Finite Alphabet signals and Underdetermined Blind Signal Separation (uBSS). The paper also presents a possible application of Biomimetic intelligence for a surveillance system and a smart sensor web in the legacy powerlines.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA