- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
Smart grid (SG) operation requires a reliable, accurate and effective communication link between the distributed meters and the control center. However, dedicating a portion of the spectrum is difficult due to the spectrum scarcity problem. Cognitive radio (CR) technology has been nominated as a good candidate for SG communications due to its efficiency and flexibility. Indeed, channel selection in CR-based SG systems is still an open issue, and it is investigated in this paper. The paper proposes a novel channel selection mechanism that is able to adapt the selection criteria based on the type of transmitted data. The proposed mechanism is proven to provide high performance compared to the non-adaptable mechanisms.
This paper investigates the channel selection problem of cognitive radio based smart grid communications in the dis- tribution section. SNR-based mechanisms can offer high data rate, while the cost is in longer delays due to not consid- ering the reliability of the transmit channels. On the other hand, reliability-based mechanisms are able to shorten the transmission delay, and the corresponding data rate loss is high. The proposed mechanism is able to achieve balance in this trade-off as it adapts the selection criteria based on the data type. The proposed mechanism selects the most re- liable channel for delay-sensitive data, and the maximum SNR channel for non-delay-sensitive data. Simulation results have proved the high performance of the proposed mecha- nism compared to the other mechanisms. As a potential fu- ture work, the proposed channel selection mechanism can be evaluated in real environments taking into account the differ- ent sensing abilities of the transmitting nodes, the variable activity of licensed users and the potential congestion in case of large number of nodes.