Effective signal detection in a LoRa-networked ship for data-driven ship management

Abstract

Recently, as the data-based management of ships using in-ship data has been required, the demand for networking technol-ogy to acquire and stably transmit the data is increasing. However, maintaining stable connections in a ship for IoT-based data-driven management is technically challenging owing to the various communication environments and application scenarios in ships. IoT wireless sensor networks on a ship must adopt techniques to reduce the energy consumption of distributed devices and to extend communication coverage to accurately collect various data. Among commercially available IoT networking services such as long-range wide area network (LoRaWAN), Sigfox, narrowband Internet of Things (NB-IoT), and long-term evolution (LTE) machine-to-machine (M2M) (LTE-M), LoRaWAN is one of the most promising technologies because it is a data link layer with a long range, low power consumption, and suitable bit rate for IoT applications. However, for life- and safety-related applications, the detection perfor-mance of related information may be a more important criterion that must be guaranteed. Therefore, this study discusses effective signal detection in a LoRa-networked ship for data-driven ship management.