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Communication Dans Un Congrès Année : 2015

An Improved D-S Theory Cooperative Spectrum Sensing Algorithm in Cognitive Wireless Sensor Networks

Résumé

Cognitive radio has attracted a large amount of interest in the wireless sensor networks. Spectrum sensing is believed as the most crucial function of cognitive radio to prevent the harmful interference with the primary users and identify the available spectrum for improving the spectrum utilization. In this paper, we propose an improved Dempster-Shafer theory cooperative spectrum sensing algorithm which does not only utilize the signal to noise ratio to evaluate the reliability of each sensor node, but also consider the credibility between any two sensor nodes in a distributed cognitive wireless sensor networks. In this way, the weight of each node’s sensing data is more reasonably allocated in the fusion based on Dempster-Shafer theory. Simulation results show that significant improvement in the credibility of decision is achieved by our algorithm.
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Dates et versions

hal-01171172 , version 1 (03-07-2015)

Identifiants

  • HAL Id : hal-01171172 , version 1

Citer

Shaoyang Men, Pascal Chargé, Sébastien Pillement. An Improved D-S Theory Cooperative Spectrum Sensing Algorithm in Cognitive Wireless Sensor Networks. The third Sino-French Workshop on Information and Communication Technologies (SIFWICT 2015), Jun 2015, Nantes, France. ⟨hal-01171172⟩
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