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SDEC: Spectrum-Aware Degree-Ranking-Based Energy-Efficient Clustering Algorithm for Multi-hop CRN

  • Lili Kong
  • Yali Wang
  • Yifei Wei
  • Haolong Wang
  • Yi Man
  • Xiaojun Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8351)

Abstract

Cognitive radio is a key technology for promoting spectrum efficiency by exploiting the existence of spectrum holes under the current static spectrum allocation policy. However, using spectrum bands in an opportunistic way has brought some significant challenges such as connectivity and energy consumption in dynamic environment. In this paper, we propose an adaptive SDEC (spectrum-aware degree-ranking-based energy-efficient clustering algorithm) applying to multi-hop wireless CRN, which incorporates the spectrum quality and the number of neighbor nodes into consideration. Results of simulations illustrate that the algorithm can well fit into CR network and achieve significant improvement both on the load balancing and the average power consumption. Moreover, SDEC has preferable stability and validity due to its low complexity and quick convergence under dynamic spectrum change.

Keywords

Multi-hop Wireless CRN Clustering Algorithm Spectrum Quality Degree Ranking 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Lili Kong
    • 1
  • Yali Wang
    • 1
  • Yifei Wei
    • 1
  • Haolong Wang
    • 1
  • Yi Man
    • 1
  • Xiaojun Wang
    • 2
  1. 1.Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic EngineeringBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.The Rince Institute, School of Electronic EngineeringDublin City UniversityDublinIreland

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