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The Internet of Things
In the future, things are expected to become active participants in business, information, and social processes, where they can interact and communicate with each other, sharing information about the environment, reacting, and influencing the processes taking place in the world without human intervention. The Internet of Things (IoT) is inherently a continuous flow of data in space, passing through various networks. The purpose of this work is to prepare the summary of the article devoted to discussing the phenomenon of the IoT.
The article by Kenneth Li-Minn and Kah Phooi Seng
The multi-page work by Kenneth Li-Minn and Kah Phooi Seng includes three sections that are differently suited to the question of determining the IoT. Authors introduce the reader to reasonably everyday examples that allow a closer understanding of the concept of the objects described (2). In order not to get lost in the variety of different forms, Kenneth Li-Minn and Kah Phooi Seng divide all known mixture of IoT into eight categories. Kenneth Li-Minn and Kah Phooi’s draw show other categories, which include medical, scientific, agricultural, and environmental examples (1). The main idea of this section is to demonstrate that the needs of society dictate the creation of electronic devices.
Data storage and security issues
Since IoT is based on methods that meet user needs, much attention must be paid to data storage and security issues. The authors are convinced that this issue should be taken into account when creating a complex system architecture. The models of organization offered by researchers are multilayered, where each level is designed for a specific task (6). Not least in the functionality of such things is the recognition of biometric indicators. Of course, creating sensors for such a mission is both labor- and resource-intensive, which is why authors argue that building IoT should be based on the integration of energy efficiency, multifunctionality, and compactness.
Areas for the evolution of IoT
The last section is devoted to forecasting the future of such devices. The researchers identify four areas that are likely to be the route for the evolution of IoT, and the first is the ecosystem integration between devices. Second, future work will focus on improving energy efficiency and performance. Third, given the trends in machine learning today, future devices will operate on the principles of neural networks and artificial intelligence, anticipating user demands. Finally, more data will be collected, and the more complex the protection protocol must be. Researchers are convincing their readers that the IoT of the future should be inaccessible to hacker attacks regardless of the application.
Work Cited
Ang, Kenneth Li-Minn, and Jasmine Kah Phooi Seng. “Application Specific Internet of Things (ASIoTs): Taxonomy, Applications, Use Case and Future Directions.” IEEE Access, vol. 7, no. 1, 2019, pp. 56577-56590.
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