Abstract

This study proposes a novel scheme of spectrum management based on node degree. The spectrum resource is divided into multiple levels by the node degree, with which cognitive nodes select the suitable frequency from some spectrum layer. The nodes with greater degree can choose a frequency that closer to the predominant frequency. The supports of additional equipment and protocol redesign are not necessary for the rapid deployed applications by using this proposed scheme. Finally, the efficiency of proposed scheme is testified with experiments.

Highlights

  • With the rapid development of radio communication service, the old way on using spectrum has severely constrained the wireless network technologies; it only allows the authorized users to use the spectrum resource

  • The problem would be alleviate with the emergence of Cognitive Radio (CR) technology (Mitola, 2000; Akyildiza et al, 2006) which improves the utilization rate of spectrum resource, at time supports more flexible communication than traditional wireless network in different environments, different topologies and different tasks, those advantages make it a key technology of generation network (Akyildiza et al, 2006)

  • Various link protocols and routing protocols (Zhao et al, 2007; Su and Zhang, 2007; Qing and Huaibei, 2008; Chowdhury and Di Felice, 2009) is designed with joining with spectrum management, but those protocols fail in improving the performance of whole network in spectrum management

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Summary

INTRODUCTION

With the rapid development of radio communication service, the old way on using spectrum has severely constrained the wireless network technologies; it only allows the authorized users to use the spectrum resource. Cognitive users make use of the ability of cognitive engine to manage spectrum resource and enhance the performance of upper-layer protocols (Claudia and Kaushik, 2009). With the our proposed scheme Ad hoc cognitive radio network (Akyildiz et al, 2009) can manage spectrum resource efficiently and be suitable for complex applications flexibly and efficiently without extra equipment and redesigning protocol

LITERATURE REVIEW
EXPERIMENTS
CONCLUSION
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