Wireless networks are facing growing demand for high capacity, better coverage, support of new applications and broad range of services. In this book, the authors first present an overview of beamforming antennas and millimeter wave communications followed by a discussion on the challenges and issues facing MAC and multi-hop routing in the wireless networks with beamforming antennas. Then, they discuss various MAC and routing protocols that are specifically designed to address those issues and exploit the benefits of millimeter wave and beamforming antennas. Authors also present a framework to provide Quality of Service (QoS) in contention-based wireless networks with beamforming antennas. Finally, the book is concluded with a discussion on open research topics for future generation WLAN systems.

Digital marketing emerged as a natural response by companies and vendors to leverage and benefit from the significant consumer concentration on digital channels. This proliferation of IT applications and the enormous presence of customers in digital channels generate a large number of products and customer data. Machine learning and artificial intelligence are game-changing techniques in digital marketing to analyze this data. This analysis helps marketers to personalize the sales tools toward individuals, optimize their operations, and minimize expenditure. Contemporary Approaches of Digital Marketing and the Role of Machine Intelligence demonstrates relevant theories of digital marketing along with tools, techniques, methods, and strategies. It also identifies the research gaps for effective digital marketing tools, techniques, and methods and builds a bridge between digital marketing strategies and business plans for organizations. Covering topics such as digital marketing, metaverse, and visitor experience, this premier reference source is an essential resource for business leaders and managers, marketers, IT managers, data analysts, social media analysts, students and educators of higher education, researchers, and academicians.

Digital marketing emerged as a natural response by companies and vendors to leverage and benefit from the significant consumer concentration on digital channels. This proliferation of IT applications and the enormous presence of customers in digital channels generate a large number of products and customer data. Machine learning and artificial intelligence are game-changing techniques in digital marketing to analyze this data. This analysis helps marketers to personalize the sales tools toward individuals, optimize their operations, and minimize expenditure. Contemporary Approaches of Digital Marketing and the Role of Machine Intelligence demonstrates relevant theories of digital marketing along with tools, techniques, methods, and strategies. It also identifies the research gaps for effective digital marketing tools, techniques, and methods and builds a bridge between digital marketing strategies and business plans for organizations. Covering topics such as digital marketing, metaverse, and visitor experience, this premier reference source is an essential resource for business leaders and managers, marketers, IT managers, data analysts, social media analysts, students and educators of higher education, researchers, and academicians.

In this book, the authors first present an overview of the challenges and issues facing MAC and routing in multi-hop wireless networks with beamforming antennas. Subsequently, we discuss various MAC and routing protocols that are specifically designed to address those issues and hence exploit the benefits of beamforming antennas. We also present a framework to provide Quality of Service (QoS) in contention-based wireless networks with beamforming antennas. Finally, we conclude the book with a discussion on open research topics.