NodeMCU and IoT-based Safety and Security Ecosystem for Heavy Vehicles

Abstract

This paper explains the design and implementation of a safety system for heavy vehicles. A small-scale embedded system based on Node MicroController Unit (NodeMCU) is proposed and prototyped here. Peripherals such as Global Positioning System (GPS) receiver (for location updates), tilt sensor (for accident detection), gas sensor (for alcohol activity detection), RFID tags and reader (to monitor entry and exit of vehicles in restricted areas), a touch sensor (to indicate an emergency) etc., have been used in this system. A major improvement over existing accident alert systems is that the proposed design makes use of ultrasonic sensors to indicate over-height of the vehicles approaching underpasses (tunnels or rail over road bridges) on highways. A sound alarm is triggered if the vehicle's height is more than the entry point of the underpass so that the driver can slow down the vehicle. A working prototype of the overall system has been implemented and tested successfully. The data gathered by all sensors is sent to the cloud using the Message Queuing Telemetry Transport (MQTT) protocol and the user can monitor all the updates using his/her android smartphone.

Smart distance alert system with Blynk integration for safer gadget use

“…An IoT MCU or development board comprises energy-efficient processors that are compatible with several programming environments. These processors can gather data from sensors through firmware and transmit the data, whether raw or processed, to a local or cloud-based server [20], [21] and can be different devices when using a WiFi network. It was connected to Wi-Fi to store the sensed data in a cloud server [22], [23].…”

Current Research Trends in IoT Security: A Systematic Mapping Study

“…e same is true for studies on end-to-end security framework development of the Constrained Application Protocol (CoAP) [93][94][95] and on frameworks in which smart-object users designate privacy preferences to protect personal information generated and consumed by smart objects [96]. Smart objects that have recently attracted attention are vehicles that are equipped with various sensor devices, actuators, GPS (global positioning system) receivers, and micro-embedded computers to collect, process, and transmit vast amounts of data [97,98]. Vehicular sensor networks provide connected sensor devices that collect data and enable safer and more fluid road traffic [99].…”