Digital transformation involves reconsidering your existing approach to common problems. Because it’s an evolution, a transformation doesn’t necessarily have a clear endpoint. Digital transformation is best conceived of as an ongoing adaptation to a continually changing environment. In a wireless network, data is exchanged between nodes via wireless connections. Wireless network deployment and usage have witnessed exponential growth. Unlike previous generations of mobile systems, present-generation wireless systems can deliver high-speed data services at significantly higher rates as modern systems heavily rely on advanced technologies. In addition, these technologies are fostering the development of an increasingly intelligent Internet of Things (IoT), which requires a trustworthy, efficient, fast, and secure connection. Increasingly intelligent objects pose a challenge to existing communications networks due to their complexity. To fulfill these demands, it is imperative to optimize system performance in order to ensure compliance with industry standards. Wireless networks require time-consuming and energy-intensive mathematical solutions as part of their performance analysis. They also consume a significant amount of power and are inefficient. Therefore, advanced mathematical solutions such as Artificial Intelligence (AI) need to be incorporated into modern wireless systems. This book presents research breakthroughs and reviews on digital transformation in wireless networks, which include works on both important aspects of these networks and how modernization of technologies can contribute to further performance optimization within these networks. Additionally, the book discusses advancements in antennas for modern wireless systems, which are crucial to radio frequency communications. Researchers and professionals interested in sensor networks will benefit from this book. This book will also appeal to postgraduate college engineering students interested in learning more about wireless networks and related technologies.
