Abstract
In the current scenario, around 35 billion Internet of Things (IoT) devices is connected to the internet. By 2025, it is predicted that the number will grow between 80 and 120 billion devices connected to the internet, supporting to generate 180 trillion gigabytes of new sensor data that year. The IoT sensor data is generated from various heterogeneous devices, communication protocols, and data formats that are enormous in nature. This huge amount of sensor data is unable to acquire and analyze manually. This is a significant problem for IoT application developers to make the integration of IoT sensor data automatically. However, the large amount of data has led to the inadequacy of the manual data acquisition and stressed the urgency into the research of IoT based frameworks in automatic. In this paper, we have proposed a framework for IoT sensor data acquisition and analysis (FSDAA). The FSDAA has been implemented on the ThingSpeak IoT Cloud platform for data analysis and visualizations, and compared with the state of the art schemes. Finally, the results show that the proposed FSDAA is efficient in terms of Accuracy, Precision, Recall, and F-measure.
Highlights
In recent years, the urban population growth is increasing tremendously
In between 2020 to 2025 years, this increase will be 1.63% and 2025 to 2030 it goes to 1.44% approximately by the World Health Organization (WHO)
The best approach to solve this problem using the Internet of Things and it provides a new trend to intelligent traffic management
Summary
The urban population growth is increasing tremendously. The global urban population is expected to grow 1.86% per year from 2015 to 2020. Developing a smart framework in view of IoT has a number of advantages such as change of activity conditions, lessening the car influx and administration costs, high unwavering quality, traffic security and freedom of climate conditions. Such undertaking of an IoT must incorporate each component of traffic such as streets, spans, burrows, traffic signs, vehicles, and drivers. The IoT sensor data will be produced along with various sensor-based technologies This movement is observing that applications should ensure to keep any type of security attack visit in urban cities.
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