Analysis of taskable mobile IoT sensing systems for coverage and throughput

Recently, the primary importance of Internet-of-Things (IoT) and sensors gives a solution to multiple broad challenges. Smart cities, intelligent healthcare outcomes, innovative infrastructure, smart transportation, and intelligent surroundings are examples of these applications. Moreover, there are significant issues with the current data of IoT sensors, including a deluge of contaminated sensor information and a vast resource utilization cost. This paper discusses how to handle IoT sensor information, integrate various data sources, and gain an intelligent understanding of hidden data trends and make quick decisions. This is the initial publication of its type to provide a comprehensive review of IoT sensing data, integration, and analytical approaches. This paper examines mobile IoT sensing network implementation in unlicensed and licensed bands, taking into account the LoRaWAN protocols. The proposed system achieves the coverage and throughput representing network access for real-time applications, and the IoT sensor performance is evaluated.