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Jamming Resilient Multi-Channel Transmission for Cognitive Radio IoT-based Medical Networks
Khadr, Monette,Salameh, Haythem Bany,Ayyash, Moussa S.,Elgala, Hany,Almajali, Sufyan 한국통신학회 2022 Journal of communications and networks Vol.24 No.6
The era of the Internet-of-things (IoT) comes withtremendous burdens on pre-existing network infrastructures andprotocols due to spectrum scarcity and reliability concerns. Cognitive radio (CR) technology is proposed for IoT applica-tions to alleviate the spectrum scarcity paradigm. In CR-IoT-based networks, the IoT devices/nodes share the spectrum withprimary users (PUs). However, in order not to interfere with PUscommunications and to conform with the elevating throughputrequirements, efficient multi-radio/multi-channel assignment al-gorithms are required. Additionally, in order to ensure reliabletransmission, algorithms need to be resilient to jamming attacks,which have detrimental impacts on network performance. In thispaper, parallel-channel security-aware medium access control(PCS-MAC) is proposed as a probabilistic-based jamming re-silient multi-channel assignment algorithm proposed for medicalnetworks. PCS-MAC considers primary user activity, channelconditions, jamming attack levels, and data-rate requirementsto provide spectrally efficient data transmission between CR-IoT nodes subject to delay constraints under jamming attacks toassure the delivery of time-critical patient data. The performanceof PCS-MAC is practically validated using the open large-scalefuture Internet-of-things (FIT) IoT-LAB testbed. Practical resultsshow that our proposed algorithm significantly enhances networkperformance, yielding throughput rates that supersedes the state-of-the-art algorithms presented in literature.