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A NOVEL TECHNIQUE FOR ENHANCING OVERALL NETWORK EFFICIENCY USING COGNITIVE RADIO


Article Information

Title: A NOVEL TECHNIQUE FOR ENHANCING OVERALL NETWORK EFFICIENCY USING COGNITIVE RADIO

Authors: J. Sivasankari, B. Sridevi

Journal: Pakistan Journal of Biotechnology

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30

Publisher: Innovative Science and Technology Publishers

Country: Pakistan

Year: 2016

Volume: 13

Issue: Special Issue 1

Language: English

Keywords: Cognitive RadioVirtual ClusteringPrimary UserHierarchical NodesThroughput.

Categories

Abstract

Cognitive radio has been considered as a key technology for future wireless communications and mobile computing. Powerheterogeneity is also common in CR networks. The benefits of high-power nodes are the expansion of network coverage andalso have advantages in power and data transmission rate. So, researchers have made efforts to examine these advantages, likebackbone construction i.e., virtual backbone is constructed in a distributed and localized fashion while considering manyincompatible objectives like fast convergence, and low computation cost. Topology control helps in conserving the energy byeither reducing transmission power per node or preserving energy-efficient routes for the entire network. But, the largetransmission range of high power nodes leads to large interference, which reduces the spatial utilization of network channelresources. Because of different transmission power, unidirectional links will occur in the network. Due to these issues, theprimary user (PU) of the cognitive radio network will go into shutdown condition. To address this issue and to explore theadvantages of high-power nodes, we develop an virtual clustering algorithm to construct a hierarchical network and to eliminateunidirectional links. To reduce the interference raised by high-power nodes, we develop routing algorithms to avoid packetforwarding via high-power nodes. The throughput of power heterogeneous cognitive can be severely impacted by high-powernodes


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