In today's world, the integration of Artificial Intelligence (AI) with Communication Technologies (ICT) has become an essential aspect of research and development. However, this convergence poses numerous challenges and bottlenecks that need to be addressed. Introducing AI and Its Convergence with Communication Technologies, a research book edited by a team of expert scholars, including Badar Muneer, Faisal Shaikh, Naeem Mahoto, Shahnawaz Talpur, and Jordi Garcia. This book offers an interdisciplinary platform that provides a comprehensive overview of the state-of-the-art research and practical challenges related to the AI convergence with ICT. It is designed for engineers, professionals, scientists, and academicians, providing them with insights into the ICT industry and research from an AI expert perspective. Readers associated with the field of computer science, information technology, software engineering, telecommunication, and electronics engineering will find this book to be beneficial. AI and Its Convergence with Communication Technologies covers a wide range of topics, including recent advancements and applications in AI; its uses in signal processing, mobile and modern wireless networks, decision-making and policy-making; and AI towards automation. It also addresses the potential applications of AI in the domains of national defense, military technology, hybrid warfare, medical & health sciences, and energy-efficient systems. Furthermore, the book highlights the strengths and weaknesses of AI convergence with ICT, along with emerging frontiers and recommendations. The book offers a brief history of AI in ICT and a comprehensive introduction to ICT-related methods and techniques in artificial intelligence and machine learning. It also covers data management with AI, data fusion, and knowledge discovery, as well as the use of AI in digital image processing. The book also emphasizes the role of AI in extracting knowledge and making predictions in decision-making strategies for businesses, management, and governance. Overall, this book provides a significant contribution to the understanding of AI and its convergence with communication technologies. While presenting a general trend and emergence of AI in ICT and related areas, it also highlights the challenges, limitations, and emerging frontiers. This book is a must-read for scholars and researchers who seek to understand the growing intersection of these two technologies and how it impacts modern industries and research.

The energy efficiency paradigm associated with Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) is a major bottleneck for the development of related technologies. To overcome this limitation, the design and development of efficient and high-performance energy harvesting systems for WSN and IoT environments are being explored. This edited book comprehensively covers energy harvesting sources and techniques that can be used for WSN and IoT systems. The authors cover energy harvesting, energy management and energy prediction models to maximize the energy harvested. They also identify major architecture advances to develop cost-effective, efficient, and reliable energy harvesting systems. This is a useful reference for researchers, engineers, practitioners, designers, and R&D staff involved in the development of energy harvesting models, architectures and technologies for practical deployments in WSN and IoT environments. The book will be of interest to professionals involved in developing energy harvesting systems, industry practitioners, and manufacturers in IoT, sensing, and energy harvesting technologies. Finally, it will also be a useful reference for graduate, PhD and postdoctoral students following courses in WSNs, IoT and energy harvesting technologies.

This book constitutes the thoroughly refereed proceedings of the Third International Multi-topic Conference on Communications, Technologies, Information Security and Sustainable Development, IMTIC 2013, held in Jamshoro, Pakistan, in December 2013. The 27 revised papers presented in this volume were carefully reviewed and selected from 140 submissions. The topics presented had a reasonable balance between theory and practice in multi-disciplined topics including wireless sensor networks, cloud computing, wireless communication, antenna design, signal processing, software engineering, image processing, bioinformatics and telemedicine, neural networks, automation and control, and green renewable energy.

This book constitutes the refereed proceedings of the First International Conference on Wireless Sensor Networks for Developing Countries, WSN4DC 2013, held in Jamshoro, Pakistan, in April 2013. The 10 revised full papers presented were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections on WSN applications/services for developing countries; mobile WSN; underwater WSN; VANETS; body area networks; energy harvesting in WSN; WSN and cloud integration; WSN and IoT; QoS and Qot; WSN MAC, network and transport protocols; cross layer approaches; security aspects in WSN; WSN applications in smart grid and energy management; WSN in structural health monitoring.

This book constitutes the refereed proceedings of the Second International Multi-topic Conference, IMTIC 2012, held in Jamshoro, Pakistan, in March 2012. The 51 revised full papers presented were carefully reviewed and selected from 205 submissions. The papers address topics from information communication technologies.

Developing countries are persistently looking for efficient and cost-effective methods for transforming their communities into smart cities. Unfortunately, energy crises have increased in these regions due to a lack of awareness and proper utilization of technological methods. These communities must explore and implement innovative solutions in order to enhance citizen enrollment, quality of government, and city intelligence. IoT Architectures, Models, and Platforms for Smart City Applications provides emerging research exploring the theoretical and practical aspects of transforming cities into intelligent systems using IoT-based design models and sustainable development projects. This publication looks at how cities can be built as smart cities within limited resources and existing advanced technologies. Featuring coverage on a broad range of topics such as cloud computing, human machine interface, and ad hoc networks, this book is ideally designed for urban planners, engineers, IT specialists, computer engineering students, research scientists, academicians, technology developers, policymakers, researchers, and designers seeking current research on smart applications within urban development.

Developing countries are persistently looking for efficient and cost-effective methods for transforming their communities into smart cities. Unfortunately, energy crises have increased in these regions due to a lack of awareness and proper utilization of technological methods. These communities must explore and implement innovative solutions in order to enhance citizen enrollment, quality of government, and city intelligence. IoT Architectures, Models, and Platforms for Smart City Applications provides emerging research exploring the theoretical and practical aspects of transforming cities into intelligent systems using IoT-based design models and sustainable development projects. This publication looks at how cities can be built as smart cities within limited resources and existing advanced technologies. Featuring coverage on a broad range of topics such as cloud computing, human machine interface, and ad hoc networks, this book is ideally designed for urban planners, engineers, IT specialists, computer engineering students, research scientists, academicians, technology developers, policymakers, researchers, and designers seeking current research on smart applications within urban development.

A key functionality of Wireless Sensor Networks (WSNs) consists in obtaining and transporting the information of interest (e.g., events) required by the applications. The applications running on WSN also specify desired reliability levels for the information. Consequently, reliability requirements, possibly changing over time and of tunable levels over an application, are stipulated on the transport of information. As the WSN environments are often exposed to perturbations, these specifically need to be considered in order to achieve the desired reliability on information transport. The existing approaches to reliable transport typically focus on maximizing the attained reliability levels than the more complex facets of reliability adaptation or tunability. These approaches thus tend to over utilize the network resources (e.g., energy) even when the application does not require enhanced reliability. On this background, the book develops a novel generalized framework for reliable information transport in WSNs. The proposed framework supports various applications, provides tunable reliability of information transport and copes with dynamic network conditions.