| Title |
RF Spectrum Cognition Technologies for IoT Wireless Sensors |
| Authors |
윤원상(Yoon, Won-Sang) ; 한상민(Han, Sang-Min) |
| DOI |
https://doi.org/10.5370/KIEE.2016.65.1.122 |
| Keywords |
Cognitive radio ; C-WSN (Cognitive wireless sensor network) ; IoT (Internet of things) ; Spectrum sensing ; Wireless connectivity |
| Abstract |
In this paper, new spectrum sensing schemes based on analog/RF front-end processing are introduced for IoT wireless sensor networks. While the conventional approaches for wireless channel cognition have been issued in signal processing area, the RF spectrum cognition concept makes it feasible to achieve cognitive wireless sensor networks (C-WSNs). The spectrum cognition at RF processing is categorized as four kinds of sensing mechanisms. Two recent reseaches are described as promising candidates for the C-WSN. One senses spectrum by the frequency discriminating receiver, the other senses and detects from the frequency selective super-regenerative receiver. The introduced systems with simple and low-power RF architectures play dual roles of channel sensing and demodulation. simultaneously. Therefore, introduced spectrum sensing receivers can be one of the best candidates for IoT wireless sensor devices in C-WSN environments. |