Название: Intelligent Wireless Communications Автор: George Mastorakis, C.X. Mavromoustakis, J.M. Batalla Издательство: The Institution of Engineering and Technology Год: 2021 Страниц: 452 Язык: английский Формат: pdf (true) Размер: 19.4 MB
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.
1 An overview of the intelligent big data analytics and their technological presence in the modern digital age 1.1 Introduction 1.2 Big data 1.3 Artificial intelligence 1.3.1 Machine learning 1.3.2 Natural language processing 1.3.3 Deep learning 1.4 Big data analytics 2 Artificial intelligence in IoT and its applications 2.1 Introduction 2.1.1 Internet of things 2.1.2 Intelligent wireless communications 2.1.3 Intelligent IoT 2.1.4 Challenges and solutions in building AI with IoT 2.2 AI revolution in IoT 2.3 Intelligent sensing 2.4 Feature of AI with IoT 2.4.2 Intelligent energy management 2.4.3 Security 2.5 Intelligent machine and deep learning in IoT 2.5.1 IoT machine learning 2.5.2 IoT deep learning 2.6 IoT-based AI data access and distributed processing 2.7 AI contribution aspects to Internet of things 2.7.1 Data mining and processing 2.7.2 Voice assistants 2.7.3 Smart decisions 2.7.4 Forecasting 2.7.5 Smart meters 2.8 AI for IoT applications 2.8.1 Personal and home devices 2.8.2 Healthcare 2.8.3 Agricultural 2.8.4 Intelligent cities 2.8.5 AIoT industry 2.9 Summary 3 Green energy harvesting protocols for intelligent wireless communication systems 3.1 Background and motivation 3.2 Architecture of energy harvesting wireless networks 3.3 Energy harvesting models for intelligent wireless communications 3.4 AI-assisted online algorithms for optimal energy harvesting communications 3.5 Optimal resource allocation in EH self-sustainable communication systems 4 Discrete wavelet transform applications in the IoMT 5 Intelligent agents system for medical information communication 6 Intelligent Internet of things in wireless networks 6.1 Introduction 6.2 IoT networks 6.2.1 LPWAN IoT networks 6.2.2 Cognitive IoT networks 6.2.3 Dynamic IoT networks 6.2.4 Semantics intelligent IoT networks 6.3 Reprogrammable and reconfigurable of IoT devices 6.4 Open source platforms in IoT networks 6.5 Analysis IoT network context 6.6 Intelligent IoT network algorithms and strategy 6.7 Heterogeneous IoT-based 5G networks 7 Impact of jamming signal on system performance in downlink of IoT network relying on nonorthogonal multiple access 8 QoS of communication networks using MPLS protocol 9 Damaged critical infrastructure for VANETs 10 Artificial intelligence-enabled optical wireless communication links: a revolutionary approach toward smart communication model 11 Intelligent underwater wireless communications 12 Machine learning algorithms for smart data analysis in the Internet of things: an overview 13 Artificial intelligence and machine learning aided blockchain systems to address security vulnerabilities and threats in the industrial Internet of things 14 Improved gain vector-based recursive least squares for smart antenna applications 15 Forecast of electricity consumption: a comparison of ARIMA and neural networks 16 Smart interoperability public safety wireless network Index
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Название: Intelligent Wireless Communications