The Future of Computing: Ubiquitous Applications and Technologies

IoT and AIoT: Applications, Challenges and Optimization

Author(s): Amit Verma* and Raman Kumar

Pp: 126-137 (12)

DOI: 10.2174/9789815238990124010011

* (Excluding Mailing and Handling)

Abstract

The Internet of Things (IoT) has rapidly gained popularity as a technology that enables devices to communicate with each other and the Internet, opening up a world of possibilities for new applications and services. This chapter provides an overview of IoT, its applications, and the challenges that need to be addressed in its deployment. IoT and AIoT are two of the most significant technological innovations of the 21st century. IoT allows physical devices to connect and exchange data, while AIoT enables these devices to learn, analyze, and make decisions based on the data they collect. The term “AIOT” stands for “Artificial Intelligence of Things.” AIOT refers to the integration of Artificial Intelligence (AI) technologies with the Internet of Things (IoT) ecosystem. In essence, AIOT combines the capabilities of AI and IoT to create intelligent, self-learning systems that can analyze, interpret, and respond to data generated by IoT devices. Together, these technologies offer numerous benefits such as increased efficiency, better decision-making capabilities, and improved outcomes across industries like healthcare, manufacturing, transportation, and agriculture. As more devices and systems become connected, IoT and AIoT will continue to play a critical role in shaping the future of our world. IoT and AIoT have the potential to transform the way we live and work. By enabling devices to communicate and share data, IoT can help us create more efficient and effective systems, and by integrating AI technologies, IoT devices can become smarter and more autonomous. This means that devices can analyze data in real-time, make decisions, and adapt to changing conditions without human intervention. For example, in smart cities, IoT and AIoT can help reduce traffic congestion by optimizing traffic flows, and in healthcare, they can help monitor patients remotely and alert healthcare providers when necessary. As more devices and systems become connected, we can expect IoT and AIoT to become increasingly sophisticated, offering new opportunities for innovation and growth in various industries. However, as with any new technology, there are also potential risks and challenges that must be addressed, such as security and privacy concerns, and the need for new regulations and standards to ensure the safe and ethical use of these technologies.


Keywords: Artificial intelligence, AI, AIoT, Applications, Challenges, Internet of things, Optimization, IoT.

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