Improved history based channel allocation scheme for cognitive radio networks

Optimal channel sensing and allocation schemes enable Cognitive Radios (CR) to identify and opportunistically transmit on under-utilized radio frequencies. Intelligent way of channel sensing strategies reflected directly to the major performance factors like end-to-end delay, interference, packet loss ratio and energy consumption. Since most of the CR devices are low power handheld devices, we need simpler and efficient channel sensing strategies. In this paper, improved history based channel sensing problems for multiple cognitive users (CU) networks are effectively modeled through channel deciding factor (CDF) from each available channel. The proposed sensing scheme improves both the misdetection ratio and energy consumption of participating radio devices. Each device in cooperative cognitive radio network decides its next channel by sharing the deciding factors with others; this will extend the sensing space of CR network.