A Jamming-resilient opportunistic QoS-constrained multi-channel routing for green IoT networking

Employing the cognitive radio (CR) technology in IoT networks, referred to as CR-IoT, is considered a promising solution for providing the spectrum opportunities needed for massive IoT deployments. Jamming attacks can significantly increase energy consumption in CR-IoT networks by increasing the number of dropped packets, and hence the number of needed packet re-transmissions. Designing jamming-aware communication protocols that attempt to reduce the number of dropped packets in the network results in green CR-IoT networking . In this paper, we develop an energy-efficient, QoS-constrained, and jamming-aware routing scheme for green CR-IoT networks. The proposed routing protocol employs a probabilistic channel assignment scheme that provides reliable data delivery under both dynamic and static jamming attacks. The underlying channel assignment problem is mathematically formulated as a binary linear programming optimization problem with the goal of maximizing the end-to-end throughput using the least number of frequency channels while meeting a set of QoS requirements. This optimization is known to be NP-hard. The sequential fixing technique is adopted to provide a sub-optimal solution in polynomial time. Simulation results indicate that the proposed routing scheme provides a remarkable performance improvement over existing schemes.