Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science

Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science mainly focuses on the techniques of artificial intelligence (AI), Internet of Things (IoT) and data science for future communications systems. The goal of AI, IoT and data science for future communications systems is to create a venue for industry and academics to collaborate on the development of network and system solutions based on data science, AI and IoT. Recent breakthroughs in IoT, mobile and fixed communications and computation have paved the way for a data-centric society of the future. New applications are increasingly reliant on machine-to-machine connections, resulting in unusual workloads and the need for more efficient and dependable infrastructures. Such a wide range of traffic workloads and applications will necessitate dynamic and highly adaptive network environments capable of self-optimization for the task at hand while ensuring high dependability and ultra-low latency. Networking devices, sensors, agents, meters and smart vehicles/systems generate massive amounts of data, necessitating new levels of security, performance and dependability. Such complications necessitate the development of new tools and approaches for providing successful services, management and operation. Predictive network analytics will play a critical role in insight generation, process automation required for adapting and scaling to new demands, resolving issues before they impact operational performance (e.g., preventing network failures and anticipating capacity requirements) and overall network decision-making. To increase user experience and service quality, data mining and analytic techniques for inferring quality of experience (QoE) signals are required. AI, IoT, machine learning, reinforcement learning and network data analytics innovations open new possibilities in areas such as channel modeling and estimation, cognitive communications, interference alignment, mobility management, resource allocation, network control and management, network tomography, multi-agent systems and network ultra-broadband deployment prioritization. These new analytic platforms will aid in the transformation of our networks and user experience. Future networks will enable unparalleled automation and optimization by intelligently gathering, analyzing, learning and controlling huge volumes of information.

Table of Contents:
Section I AIoT and Challenges for Future Communication Systems Chapter 1 ◾ Artificial Intelligence in the Internet of Things, Recent Challenges and Future Prospects Fazal Wahab, Mosa Khan, Inam Ullah and Yuning Tao Chapter 2 ◾ Artificial Intelligence (AI)‑Powered Internet of Things (IoT): Smartening Up IoT Amal Saif and Qasem Abu Al‑Haija Chapter 3 ◾ Bridging the Future: The Confluence of Internet of Things and Artificial Intelligence in Communication System Rahim Khan, Xuefei Ma, Sher Taj, Hina Hass an, Inam Ullah, Abdullah Alwabli, Yuning Tao and Habib Ullah Section II The Future of Data Analytics in Communication Chapter 4 ◾ The Future of Artificial Intelligence in Communication Sadaf Huss ain, Tanweer Sohail, Rabia Afzaal and Muhamm ad Adnan Khan Chapter 5 ◾ Data Science Meets Intelligent Internet of Things Inam Ullah, Ijaz Ahamd, Muhamm ad Shahid Anwar, Yuning Tao and Muhamm ad Shafiq Chapter 6 ◾ Data Science and Big Data Analytics Faisal Rehman, Muhamm ad Muneer, Muhamm ad Hamza Sajjad and Naveed Riaz Chapter 7 ◾ Artificial Intelligence and Machine Learning with Cyber Ethics for the Future World Wassw a Shafik Section III IoT‑Based Techniques for Smart Future Architectures Chapter 8 ◾ Internet of Metaverse Things (IoMT): Applications, Technology Challenges and Security Consideration Muhamm ad Shahid Anwar, Wadee Alhalabi, Ahyoung Choi, Inam Ullah and Ahad Alhudali Chapter 9 ◾ Social Internet of Things (SIoT): Recent Trends and Its Applications Irshad Khalil, Adnan Khalil, Inam Ullah, Yuning Tao, Ijaz Khan, Shahzad Ashraf and Waleed M. Ism ael Chapter 10 ◾ The Role of Software Defined Internet of Things (SDIoT) in Cloud Computing Hania Batool, Adila Mehdi and Ahthasham Sajid Chapter 11 ◾ Internet of Vehicles (IoV): Challenges, Threats and Routing Protocols Mariya Ouaiss a, Mariyam Ouaiss a, Souk ayna Riff i Boualam, Zakaria Boulouard, Inam Ullah Khan and Sarah El Himer Chapter 12 ◾ Edge Computing in the Digital Era: The Nexus of 5G, IoT and a Seamless Digital Future Zahid Rasheed, Yong‑Kui Ma, Inam Ullah, Yuning Tao, Ijaz Khan, Habib Khan and Muhamm ad Shafiq