Stochastic Resource Algorithm for Effective Utilization of Bandwidth for IoT Sensor Networks in Arecanut Agriculture Applications
Niranjan Murthy C1, Sanjay Pande M B2, Kotreshi S N3

1Niranjan Murthy C, Research Scholar, Assistant Professor, Department of Computer Science and Engineering, GM Institute of Technology, Davangere (Karnataka), India.
2Dr. Sanjay Pande M B, Professor, Department of Computer Science and Engineering, GM Institute of Technology, Davangere (Karnataka), India.
3Kotreshi S N, Assistant Professor, Department of Computer Science and Engineering, GM Institute of Technology, Davangere (Karnataka), India.
Manuscript received on 03 July 2022 | Revised Manuscript received on 03 January 2023 | Manuscript Accepted on 15 January 2023 | Manuscript published on 30 January 2023 | PP: 12-18 | Volume-12 Issue-2, January 2023 | Retrieval Number: 100.1/ijitee.G91860811922 | DOI: 10.35940/ijitee.G9186.0112223

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Abstract: Cognitive radio technology is growing positive solution for the effective utilization of the bandwidth for IoT device networks. The fixed spectrum allocation scheme leads to insufficient spectrum utilization, to overcome this problem, the stochastic resource allocation algorithm is proposed in the present work. This method of internet spectrum allocation considerably increases the performance of IoT sensor network by utilizing the internet spectrum by non-cognitive inactive IoT sensors (white space/spectrum holes) by continuous spectrum sensing. In this paper we have discussed the effective resource allocation for interweave and underlay conditions and also at variable interference constraints (short time and longtime spectrum sensing) of IoT network. The arecanut plantation for agriculture scenario is considered in the present paper and the sensor environment simulation is performed using MATLAB.
Keywords: Primary, Secondary Users, Resource Management, Stochastic Approximation, Imperfect Channel Information, Lagrange’s Multipliers.
Scope of the Article: IoT