Enhancing the Performance of Low-Priority IoT Nodes Through Connection Drop Mitigation in Cognitive Radio-Based IoT Networks
DOI:
https://doi.org/10.15837/ijccc.2025.6.7225Keywords:
IoT, DSA, Integrated Queueing, Dynamic Retrial Mechanism, Connection Drop MitigationAbstract
Cognitive Radio-based Internet of Things (CR-IoT) is an emerging paradigm that combines the strengths of CR and the IoT to address spectrum scarcity and enhance IoT connectivity. This paper introduces a new Priority-Based Channel Allocation (PBCA) scheme with integrated queueing and dynamic retrial mechanisms for CR-IoT applications. The scheme effectively mitigates connection drops for low priority IoT (IoT-LP) data traffic in the network, where heterogeneous real-time and non-real time nodes opportunistically share licensed spectrum with primary users (PUs). Unlike conventional approaches that often sacrifice low-priority traffic under heavy load, the proposed scheme ensures fair and reliable access while preserving priority for delay-sensitive traffic. Spectrum handoff, connection request queueing, and a new retrial process are jointly employed to enhance quality of service. The system is modeled using a multi-dimensional continuous-time Markov chain and validated through extensive simulations. Results show that the proposed PBCA scheme eliminates connection drops for IoT-LP nodes, increases total channel utilization by up to 4.65%, and reduces connection handoff probability by 50.05% compared with the baseline Random DSA scheme.
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