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A Dynamic Spectrum Access Optimization Model for Cognitive Radio Wireless Sensor Network


Affiliations
1 1Department of Computer Engineering, Pacific Academy of Higher Education and Research University, India
2 Department of Computer Engineering, Fr. Conceicao Rodrigues Institute of Technology, India
3 Modern Institute of Technology and Research Centre, India
     

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The availability of low cost and tiny sensor devices have resulted in increased adoption of wireless sensor network (WSN) in various industries and organization. The WSN is expected to play a significant role in future internet based application services. WSN has been adopted in healthcare, disaster management, environment monitoring and so on. The low-cost availability of smart devices has led to increased use of wireless devices such as Bluetooth, Wi-Fi etc. Therefore, cognitive radio network plays a significant role in handling spectrum efficiently. The emerging internet access technology such as 4G and 5G network which is expected to come in near future is going to make cognitive spectrum access more challenging. The existing cognitive radio based WSN is not efficient in utilizing spectrum. They induce high collision due to interference and improper channel state information. To address, this work present an efficient distributed opportunistic spectrum access for wireless sensor network. The channel availability of likelihood distribution is computed using continuous-time Markov chain considering primary transmitting users temporal channel usage channel pattern and spatial distribution. The simulation outcome shows the proposed model achieves significant performance improvement over existing model. The proposed model improves the overall spectrum efficiency of cognitive radio wireless sensor network in terms of throughput, packet transmission and collision.

Keywords

Cognitive Radio Network, Wireless Sensor Network, MAC, Spectrum.
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  • A Dynamic Spectrum Access Optimization Model for Cognitive Radio Wireless Sensor Network

Abstract Views: 334  |  PDF Views: 2

Authors

T. V. Saroja
1Department of Computer Engineering, Pacific Academy of Higher Education and Research University, India
Lata L. Ragha
Department of Computer Engineering, Fr. Conceicao Rodrigues Institute of Technology, India
Satyendra Kumar Sharma
Modern Institute of Technology and Research Centre, India

Abstract


The availability of low cost and tiny sensor devices have resulted in increased adoption of wireless sensor network (WSN) in various industries and organization. The WSN is expected to play a significant role in future internet based application services. WSN has been adopted in healthcare, disaster management, environment monitoring and so on. The low-cost availability of smart devices has led to increased use of wireless devices such as Bluetooth, Wi-Fi etc. Therefore, cognitive radio network plays a significant role in handling spectrum efficiently. The emerging internet access technology such as 4G and 5G network which is expected to come in near future is going to make cognitive spectrum access more challenging. The existing cognitive radio based WSN is not efficient in utilizing spectrum. They induce high collision due to interference and improper channel state information. To address, this work present an efficient distributed opportunistic spectrum access for wireless sensor network. The channel availability of likelihood distribution is computed using continuous-time Markov chain considering primary transmitting users temporal channel usage channel pattern and spatial distribution. The simulation outcome shows the proposed model achieves significant performance improvement over existing model. The proposed model improves the overall spectrum efficiency of cognitive radio wireless sensor network in terms of throughput, packet transmission and collision.

Keywords


Cognitive Radio Network, Wireless Sensor Network, MAC, Spectrum.

References