Review on Spectrum Sensing Techniques for Wireless Networks


  • Sunil Khoja
  • Anoop Tiwari



Spectrum Sensing, Wireless Network, Collaborative Optimization, Spectrum Access.


The demand for bandwidth is expanding in lockstep with the advancement of wireless communication technologies, and as a result, wireless spectrum resources are becoming more limited. The main principle of cognitive radio is dynamic spectrum access, which has been highlighted as a possible solution for spectrum shortage. Spectrum sensing is thought to be a popular solution for spectrum shortage caused by a high number of sensors, especially in Internet of Things (IoT) technologies. Nonetheless, the Internet of Things faces significant spectrum sensing problems yet to be addressed. To be used in complex and scalable IoT systems, traditional spectrum sensing methods must be properly adjusted. The purpose of this study is to provide an introduction of spectrum sensing for Internet of Things and its various architectural configurations. We present a comprehensive list of spectrum sensing issues for IoT devices. In the deployment of smart networks, machine learning and deep learning technologies are becoming more popular.


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Author Biographies

Sunil Khoja

M.Tech Scholar

Sagar Institute of Science and Technology

 Bhopal (M.P.), India

Anoop Tiwari

Associate Professor

Sagar Institute of Science and Technology

 Bhopal (M.P.), India


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How to Cite

Khoja, S. ., & Tiwari, A. . (2022). Review on Spectrum Sensing Techniques for Wireless Networks. SMART MOVES JOURNAL IJOSCIENCE, 8(2), 39–44.