An Adaptive Resource Allocation Model With Anti-Jamming in IoT Network
Zheng Dou, Guangzhen Si, Yun Lin, Meiyu Wang · IEEE Access · 2019
With the booming expansion of the Internet of Things (IoT), flexible and configurable resource allocation in an interference environment is a key issue. In this paper, we investigate resource allocation with anti-jamming for the IoT nodes and propose a novel automatic control allocation (ACA) model to get an adaptive allocation and anti-jamming transmission. More specifically, the spreading-time technology is utilized to satisfy the low-power and band-limited requirements of the IoT node, and by mapping into an orthogonal frequency division multiplexing waveform, the ACA mathematical model is obtained. Then in the model, a new joint stepwise extreme recursion algorithm is used to allocate resource with anti-jamming. The simulation results demonstrate the effectiveness of the proposed model and algorithm.