Journal of Internet of Things and Information Technology ISSN: 3107-4502 (Online)

Authors:  Prof. Shailesh Sahu, Niharika Saraf, Madhura Shastry, Navneet Kaur, Janhvi Dhote

Abstract: Internet of Things (IoT) plays a very significant role in the new generation of industrial automation systems. The popularity of IoT is increased rapidly in the last few years because it has created opportunities for research, innovation and business transformations. Today more than half of major new business processes and systems have incorporated some of the other elements of the IoT. The data generated by diverse IoT devices has opened new opportunities for data analytics as well. IoT applications need to be optimized, real-time analytics techniques to infer events for automatic decision making. Smart Sensors, machines, and network data play a major role in the success of IoT. IoT is also widely adopted in smart cities by developing intelligent systems, such as smart office, smart transportation, smart healthcare, and smart energy. In a smart city, smart devices including mobile devices, public transport and daily home appliances are used for data collection. Many real-life things like home appliances, emergency alarm and vending machines can be connected through a wireless sensor network and controlled remotely.

With the evolution of wireless sensor network and communication technology, it becomes feasible for the IoT environment to integrate sensor devices to communicate smoothly for information sharing from different platforms conveniently. IoT analytics make things smarter and intelligent.

Smart and Intelligent stuffs helps us in making Automatic systems with the least interference of human to it, which leads to the real power of AI.

Data acquisition devices sense and transmit data using WSN solutions, such as Bluetooth, RFID, Wi-Fi and GSM, to systems for further analysis in order to improve the standard of living [6][7]. IoT network can be divided into three components: Sensors Network, Communication Network and Analysis Network. The recent developments of different sensors and communication technologies have helped in developing IOT tremendously.

IoT Analytics network, which does Data Analytics, is also important in the fame of IoT systems because they involved in the decision-making process to bring transformation in business and individual. IoT analytics use different algorithms, techniques and tools as any other analytics that can run in the cloud. IoT analytics has input from a variety of sources like streams of sensor data, environmental data sensors and other entities. Accurate and timely processing of this data requires cutting edge algorithms and processing platforms. It also involves attention to security, communication, data storage, application integration, governance and other considerations beyond analytics.