Jamming resilient multi-channel transmission for cognitive radio IoT-based medical networks

The era of the Internet-of-things (IoT) comes with tremendous burdens on pre-existing network infrastructures and protocols due to spectrum scarcity reliability concerns. Cognitive radio (CR) technology is proposed for IoT applications alleviate paradigm. In CR-IoT-based networks, devices/nodes share primary users (PUs). However, in order not interfere PUs communications conform elevating throughput requirements, efficient multi-radio/multi-channel assignment algorithms are required. Additionally, ensure reliable transmission, need be resilient jamming attacks, which have detrimental impacts performance. this paper, parallel-channel security-aware medium access control (PCS-MAC) as a probabilistic-based multi-channel algorithm medical networks. PCS-MAC considers user activity, channel conditions, attack levels, data-rate requirements provide spectrally data transmission between CR-IoT nodes subject delay constraints under attacks assure delivery time-critical patient data. performance practically validated using open large-scale future (FIT) IoT-LAB testbed. Practical results show that our significantly enhances performance, yielding rates supersedes state-of-the-art presented literature.