Smart IoT System for Boat Theft Prevention Using LoRaMesh and Edge ML

This paper introduces an intelligent monitoring and anti-theft system designed for marine environments. Using Internet of Things technologies, the system utilises onboard devices that function as a finite-state machine, equipped with multiple sensors to gather speed, orientation and movement data. The onboard device is configured by the user with a personal device, which is used to arm and disarm the system via Bluetooth Low Energy. In case of theft, live position data is transmitted across a LoRa Mesh network, enabling long-range communication provided that enough boat nodes are available. The packets are transmitted using an adequate cryptography system based on AES128 keys. The data transmitted is recovered by a dock node, and it can be seen by the dock keeper and simultaneously provided to the users' application.