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Full Description
The incredible growth in the development and use of wireless communication technologies has led to research in both academia and industry on artificial intelligence (AI) methods that enable intelligent technologies, smarter services and applications, business processes and social interactions to satisfy future requirements. AI mechanisms are being exploited in smart intelligent network applications to provide insights from collected data by identifying patterns and allowing operational predictions with higher accuracy in smaller time periods. The future of AI-powered wireless networking infrastructures depends on finding effective solutions to a number of technical challenges that such paradigms introduce, including better intelligent sensor capabilities, smarter big data analytics, automated remote data management, as well as open and secure processes.
This book presents innovative research in emerging artificial intelligence methods for the processing, storing and analysing of large date sets generated by wireless communication infrastructures. It addresses major new technological developments, reflects on industry needs, current research trends and future directions. The authors focus on the development of AI-powered mechanisms for future wireless networking applications and architectures which will lead to more performant, resilient and valuable ecosystems and automated services. The book is aimed at researchers, engineers and scientists involved in the design and development of protocols and AI applications for wireless communication devices, and wireless networking technologies.
Contents
Chapter 1: An overview of the intelligent big data analytics and their technological presence in the modern digital age
Chapter 2: Artificial intelligence in IoT and its applications
Chapter 3: Green energy harvesting protocols for intelligent wireless communication systems
Chapter 4: Discrete wavelet transform applications in the IoMT
Chapter 5: Intelligent agents system for medical information communication
Chapter 6: Intelligent Internet of things in wireless networks
Chapter 7: Impact of jamming signal on system performance in downlink of IoT network relying on nonorthogonal multiple access
Chapter 8: QoS of communication networks using MPLS protocol
Chapter 9: Damaged critical infrastructure for VANETs
Chapter 10: Artificial intelligence-enabled optical wireless communication links: a revolutionary approach toward smart communication model
Chapter 11: Intelligent underwater wireless communications
Chapter 12: Machine learning algorithms for smart data analysis in the Internet of things: an overview
Chapter 13: Artificial intelligence and machine learning aided blockchain systems to address security vulnerabilities and threats in the industrial Internet of things
Chapter 14: Improved gain vector-based recursive least squares for smart antenna applications
Chapter 15: Forecast of electricity consumption: a comparison of ARIMA and neural networks
Chapter 16: Smart interoperability public safety wireless network
