International Research Journal of Education and Technology

Smart Channel Allocation in Spectrum sharing Networks focuses on improving spectrum utilization and energy efficiency in modern wireless communication systems. Cognitive Radio Networks (CRNs) enable secondary users to opportunistically access unused spectrum allocated to primary users without causing interference. However, improper channel allocation leads to communication delays, reduced throughput, and energy wastage. This project proposes a smart channel allocation mechanism that dynamically assigns available channels to secondary users based on channel conditions and energy availability. The system integrates energy cooperation mode, where secondary users harvest energy from primary user signals, and joint cooperation mode, which allows information sharing for improved performance. A modified multicasting mechanism using a Markov-based prediction model is applied to estimate channel availability and optimize allocation decisions. The proposed approach ensures efficient spectrum reuse, minimizes interference, and enhances network lifetime. Performance analysis shows improvements in throughput, delay reduction, and energy efficiency compared to existing methods. This system is suitable for wireless mesh networks and future communication environments. Overall, the project provides a reliable and adaptive solution for smart spectrum management in Spectrum sharing networks.