DefinePK

Abstract

In cognitive radio ad-hoc networks, the selection of channels for the primary wireless users transmitting delay-sensitive data has been a long-standing problem. Most existing models select the channels only based the requirement of the application layer of the users, which is not applicable in all scenarios. Hence in this paper, optimal channel selection based routing model is proposed. In the proposed model, optimal channel selection based M-SMOR (OCS-M-SMOR) first the traffic and channels conditions of the primary, as well as the secondary users are modeled and analyzed. Then the expected delay of the users' data based on the traffic priorities is evaluated using Priority virtual queue interface in which the priority queuing analysis is utilized. The users are prioritized based on the expected delay and the required spectrum frequency for the delay sensitive data. The channel selection strategies are determined using the Dynamic genetic algorithm, based on which the channels are sorted in the best possible order. For ranking the channels, the parameters namely delay; PSNR, MSE, and BER are employed while the channels are allocated to the users based on the pre-evaluated priorities. The experimental results illustrate that the proposed OCS-M-SMOR model has less delay and efficient channel transmission than the other opportunistic routing models.