Sensing a vacant spectrum in a cognitive network using cognitive radio is a critical task. When there are a number of secondary users in network, sensing of the spectrum is done by each and every individual node or secondary user in the network to check for the existence of primary users to detect the availability of free spectrum or holes in the spectrum to carry out its own transmission or in other words to use the available free space in the spectrum to uplink to the base station. Instead of spectrum sensing by individual secondary users, a cluster head can be appointed on behalf of them, which are secondary users themselves and will be assigned the additional responsibility of spectrum sensing along with its own transmission. The selection of this cluster head follows an energy efficient algorithm in this case we are using priority scheduling to predict the node life time based on its data rate available battery backup of the node. This method will be tested in different fading channel environment; the dynamic power load balancing improves the lifetime of node without overloading a single node for sensing which means it splits the sensing task to a higher power secondary node. The expected results will exhibit reduced.
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