Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers

Research Article

A New Cooperative Spectrum Sensing Scheme for Cognitive Ad-Hoc Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-30493-4_12,
        author={Yang Du and Hongxiang Li and Sentang Wu and Weiyao Lin and Xudong Wang},
        title={A New Cooperative Spectrum Sensing Scheme for Cognitive Ad-Hoc Networks},
        proceedings={Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers},
        proceedings_a={WICON},
        year={2012},
        month={10},
        keywords={cognitive radio spectrum sensing ad-hoc multi-cell distributed boundary search},
        doi={10.1007/978-3-642-30493-4_12}
    }
    
  • Yang Du
    Hongxiang Li
    Sentang Wu
    Weiyao Lin
    Xudong Wang
    Year: 2012
    A New Cooperative Spectrum Sensing Scheme for Cognitive Ad-Hoc Networks
    WICON
    Springer
    DOI: 10.1007/978-3-642-30493-4_12
Yang Du, Hongxiang Li1, Sentang Wu2, Weiyao Lin3, Xudong Wang4
  • 1: North Dakota State University
  • 2: Beihang University
  • 3: Shanghai Jiao Tong University
  • 4: Inc. USA & Shanghai Jiao Tong University

Abstract

As the radio spectrum is becoming more and more crowded, the cognitive radio has recently become a hot research topic to improve the spectrum utilization efficiency. It is well known that the success of cognitive radio depends heavily on fast and efficient spectrum sensing that can be very difficult in practice. Toward this end, this paper introduces a new guard-resident collaborative spectrum sensing topology for a cognitive ad-hoc network. In particular, we classify cognitive nodes as either or based on the spectrum neighbor decision and distributed boundary search. The guard nodes sense the spectrum and then inform the resident nodes that are free from spectrum sensing about the environmental changes. The analysis and simulation results show that the proposed algorithm can significantly reduce the total spectrum sensing load and improve the sensing accuracy.