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Minimization Strategy to Reduce Handoff by Using Adaptive Hybrid Algorithm in Cognitive Networks
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In current work of Spectrum Handoff (SH) is primarily focused on single handoff strategies (i.e. proactive or reactive) in which the spectrum handoff process is preselected without caring the PU coming pattern which can be a reason of huge spectrum handoff under-utilization and delay of channel. As a result in this research, it develops an Adaptive Hybrid Handoff (AHH) algorithm in CRNs that permit a SU to sense the coming of-a-PU-and use a- handoff approach (reactive-or proactive)- according to the PU coming time the opportunistic handoff scheme first detects the arrival of the PU by energy detection sensing. Then it allows a CR user to decide whether to perform handoff action or not depending upon the overall service time to reduce the useless handoffs. This handoff can either be proactive or reactive based on PU arrival rate. Numerical results show that our AHH scheme minimizes the amount of handoffs and whole service time whereas maintaining channel utilization and throughput of the system at maximal level compared to simple reactive and proactive schemes.
Keywords
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