Abstract
In recent years, the positioning applications of Internet-of-Things (IoT) based systems have grown increasingly popular, and are found to be useful in tracking the daily activities of children, the elderly and vehicle tracking. It can be argued that the data obtained from GPS based systems may contain error, hence taking these factors into account, the proposed method for this study is based on the application of IoT-based positioning and the replacement of using IoT instead of GPS. This cannot, however, be a reason for not using the GPS, and in order to enhance the reliability, a parallel combination of the modern system and traditional methods simultaneously can be applied. Although GPS signals can only be accessed in open spaces, GPS devices are error-prone primarily when the receiver is located in an urban-canyons area, due to congestion and the possible interference. The outcome presents a redundancy-based model for improving the fault tolerance of IoT-based positioning systems. The simulation results show a 22.5% improvement in the fault tolerance of the IoT-based positioning system after applying the proposed validation mechanism, and a 77.4% improvement in this tolerance after applying for a more expensive module redundancy.
Highlights
The significant wave of research into the Global Positioning System (GPS) navigation began in the late 1990s
It receives geolocation through the GPS module that has serial communication capabilities, the data is sent through the serial port to the Internet controller objects and after applying error tolerance algorithm, error-free data is sent via the Internet
Considering the importance of positioningbased applications and the development of the new Internet of Things (IoT) platforms, this paper presented a mechanism for object tracking, based on the instigation of IoT and GPS modules
Summary
The significant wave of research into the Global Positioning System (GPS) navigation began in the late 1990s. GPS technology has found extensive use in traffic monitoring and vehicle navigation systems In the future, this technology will synergize with emerging technologies such as the IoT, which are expected to dramatically increase the volume of positional data flows in the coming years. The existing structures for the integration of navigation systems with an IoT platform can be divided into three categories: A Sensor networks These networks are responsible for the real-time collection of traffic data and sending them to communication platforms. Like the position of sensitive people, including smart homes and medical monitoring programs, continuously tracking the signals has become a common trend for a variety of IoT devices for proactive processing In these systems, the possibility of fault, due to limited resources, is inevitable. A single station is not enough to ensure reliable navigation or positioning
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