Challenges of AI in Wireless Networks for IoT
This addresses the problem of integrating AI into IoT wireless networks for researchers and practitioners, but it is incremental as it focuses on highlighting challenges rather than introducing new methods.
The paper identifies key challenges in applying AI to wireless networks for IoT, such as connectivity, mobility, and security, and proposes generalized solutions and future research directions without presenting specific results or numbers.
The Internet of Things (IoT), hailed as the enabler of the next industrial revolution, will require ubiquitous connectivity, context-aware and dynamic service mobility, and extreme security through the wireless network infrastructure. Artificial Intelligence (AI), thus, will play a major role in the underlying network infrastructure. However, a number of challenges will surface while using the concepts, tools and algorithms of AI in wireless networks used by IoT. In this article, the main challenges in using AI in the wireless network infrastructure that facilitate end-to-end IoT communication are highlighted with potential generalized solution and future research directions.