ICBCA – Improved Cluster Based Channel Allocation in Cognitive Radio Sensor Networks

• Autorzy: Agarkhed Jayashree , Gatate Veeranna

Identyfikatory

DOI

10.26636/jtit.2020.139820

• Języki publikacji: EN

Abstrakty

EN

Wireless sensor networks (WSNs) operate in an overcrowded electromagnetic environment, as the spectrum is shared by various wireless communication technologies. This gives rise to various challenges related to optimized and efficient spectrum utilization. Cognitive radio (CR) has emerged as a solution satisfying this requirement, as it is capable of adapting to the dynamic radio spectrum. Thanks to the deployment of cognitive radio in WSNs, the spectrum may be utilized in a more efficient manner. CR may identify the vacant channels dynamically, allowing the sensor nodes to effeectively communicate with each other. In this paper a clustering algorithm known as improved cluster-based channel assignment (ICBCA) is implemented, forming clusters of CR sensor nodes and then selecting vacant channels for data transmission purposes. Simulation results show that ICBCA outperforms existing clustering algorithms in CR sensor networks.

Słowa kluczowe

EN

channel interference; channel overlapping; co-channel interference; cognitive radio

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2020
• Tom: nr 3
• Strony: 28--35
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Agarkhed Jayashree

• Computer Science and Engineering Department, Poojya Doddappa Appa College of Engineering, Kalaburagi, Karnataka, India

autor

Gatate Veeranna

• Computer Science and Engineering Department, Poojya Doddappa Appa College of Engineering, Kalaburagi, Karnataka, India

Bibliografia

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