Forthcoming Networks and Sustainability in the IoT Era

This book aims to provide a platform to the researchers and practitioners from both academia and industry to meet and share their experience and knowledge. Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT), Volume 1 & 2, aims to bring together researchers and professionals to exchange ideas on the advancements in technology, application areas for advanced communication systems and development of new services, and facilitate a tremendous growth of new devices and smart things that need to be connected to the Internet through a variety of wireless technologies. Parallel to this, new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, unmanned aerial vehicles, cloud and edge computing, energy efficiency/harvesting, and computing power open the way to new domains, services, and business models beyond the traditional mobile Internet. The new areas in turn come with various requirements in terms of reliability, quality of service, and energy efficiency. These are only some examples of the challenges that are of interest to researchers in Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT). It will explore the latest developments, innovations, and best practices within the IoT and the impact it has on industries including: manufacturing, transport, supply chain, communication, government, legal sectors, financial services, energy utilities, insurance, health care, retail, and many others.

It provides opportunities for academicians and scientists along with professionals, policymakers, and practitioners from various fields in a global realm to present their research, contributions, and views, on one forum, and interact with members inside and outside their own particular disciplines. Papers describing applications of IoT in e-Health, Smart Systems & Management, Communication, and Education are also included, but the focus is mainly on how new and novel techniques advance the performancein application areas, rather than a presentation of yet another application of conventional tool. Papers on such applications describe a principled solution, emphasize its novelty, and present an in-depth evaluation of the techniques being exploited.

Contenu

Position Estimation and Tracking With a Fuzzy-Logic-Based Adaptive Strong Tracking Kalman Filter for Capacitive Touch Panels.- A Hybrid Metaheuristic Algorithm for the Localization Mobile Sensor Nodes.- The application of big data in Aerobics Teaching in Higher Vocational Colleges.- Contribution of Block Link to Issues in SME Financing.- Application of genetic algorithm in evolutionary music.- Material system technology based on Oracle database and Java language.- Construction of Risk Warning Model in Financial Market Based on Artificial Intelligence Technology.- Evaluation of government emergency management capability based on Internet of things under BP neural network.