Please use this identifier to cite or link to this item:
http://ir.futminna.edu.ng:8080/jspui/handle/123456789/6127| Title: | Dynamic Control Channel MAC for Cognitive Radio Ad-Hoc Network: Ant Colony System |
| Authors: | Ohize, Henry Mqhele, Dlodlo Amakan, Elisha |
| Issue Date: | Sep-2016 |
| Publisher: | Southern Africa Telecommunication Networks and Applications Conference (SATNAC) 2016 |
| Citation: | Ohize, H.O, Mqhele Dlodlo and Amakan Elisha Agoni. “Dynamic Control Channel MAC for Cognitive Radio Ad-Hoc Network: Ant Colony System Implementation.” in the proceedings of South Africa Telecommunication Networks and Application Conference (SATNAC) 2016. Fancourt in George, Western Cape, South Africa 4-7 September, 2016. |
| Abstract: | Abstract—In this paper, we demonstrated a new approach for the optimal selection of control channel in an Ad-Hoc Cognitive Radio (CR) environment using the ant colony system (ACS). Critical examination of the existing control channel selection schemes reveal breaches. Our algorithm reduces the complex objective of selecting control channel from an overtly large spectrum space, to a path finding problem in a graph. We use pheromone trails, proportional to channel reward, computed based on received signal strength on channel, channel availability and commonality of channel to guide the construction of a ranking scheme for control channel selection. Simulation results eveal ACS as a feasible solution for optimal dynamic control channel selection. |
| URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/6127 |
| Appears in Collections: | Electrical/Electronic Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Dynamic Control Channel MAC for Cognitive.pdf | 120.06 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.