Large Data Download Method for IoT Machines Using LPWAN and General User’s Smartphones

Abstract

By applying low power wide area network (LPWAN) to communication between a machine and the cloud, it can be anticipated that communication costs and the amount of power consumed by the machine can both be reduced. However, considering the addition of functions to the machine, it is necessary to have a technology able to transfer a large amount of data, which cannot be transferred by LPWAN, to the machine from the cloud at low cost. In this paper, a novel large data download method by Wi-Fi from cloud to machine using the terminals of general users is proposed. In the proposed method, the cloud selects the delivery terminals satisfying the data arrival rate requirement by analyzing the correlation of the movement history between the terminals. It guarantees a data arrival rate with a higher degree of accuracy than the existing DTN and CC-DTN, and at the same time minimizes the number of delivery terminals. In addition, this paper shows an authentication procedure that prevents DoS attacks on LPWAN by a spoofing terminal, which cannot be prevented by existing network authentication technology. Also, we report the effectiveness of the proposed method, which is confirmed by numerical calculation.