International Journal of P2P
Network Trends and Technology

Research Article | Open Access | Download PDF
Volume 7 | Issue 5 | Year 2017 | Article Id. IJPTT-V7I5P403 | DOI : https://doi.org/10.14445/22492615/IJPTT-V7I5P403

A Survey on Load Balancing during Handover in Cognitive Radio Networks using Data Mining

Nivedha.S., Manivarma .S, Anandakumar.H

Citation :

Nivedha.S., Manivarma .S, Anandakumar.H, "A Survey on Load Balancing during Handover in Cognitive Radio Networks using Data Mining," International Journal of P2P Network Trends and Technology (IJPTT), vol. 7, no. 5, pp. 21-25, 2017. Crossref, https://doi.org/10.14445/22492615/IJPTT-V7I5P403

Abstract

The problem of over loaded traffic on the wireless networks which consists of nodes handle the traffic and are usually responsible for the accurate functioning of the entire network. Even if one single node gets over loaded, then the overall performance network is degraded. Our work targets on the automatic monitoring of the networks so that the load will always stay balanced among various nodes and traffic is reduced. This will help in improving the overall performance of the network by the concept of cognitive radio. The activities of licensed users may cause heavy traffic in some bands while leaving other bands idle, load balancing is first performed to equalize the traffic faced by the users. If the secondary users can prudently adopt the best spectrum decision scheme according to sensing time and traffic conditions, the overall system time can be improved by 70% compared to the existing methods. The Cognitive radio is integrated with the Frequent itemset data mining in order to extract the data’s that are stored during load balancing.

Keywords

Cognitive Radio, over Loaded, Spectrum Decision, Sensing Time, Frequent Itemset Mining.

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