Metaverse for Wireless Systems: Architecture, Advances, Standardization, and Open Challenges

The growing landscape of emerging wireless applications is a key driver toward the development of novel wireless system designs. Such a design can be based on the metaverse that uses a virtual model of the physical world systems along with other schemes/technologies (e.g., optimization theory, machine learning, and blockchain). A metaverse using a virtual model performs proactive intelligent analytics prior to a user request for efficient management of the wireless system resources. Additionally, a metaverse will enable self-sustainability to operate wireless systems with the least possible intervention from network operators. Although the metaverse can offer many benefits, it faces some challenges as well. Therefore, in this tutorial, we discuss the role of a metaverse in enabling wireless applications. We present an overview, key enablers, design aspects (i.e., metaverse for wireless and wireless for metaverse), and a novel high-level architecture of metaverse-based wireless systems. We discuss metaverse management, reliability, and security of the metaverse-based system. Furthermore, we discuss recent advances and standardization of metaverse-enabled wireless system. Finally, we outline open challenges and present possible solutions

From the Internet of Things to the social innovation and the economy of data

Historically, cities and their citizens have led the largest changes that have been taking place continuously, especially since the transition from an agricultural economy to an industrial one. This phenomenon is especially significant from the mid-eighteenth century and it will become more intense if the predictions that establish that, around the year 2050, approximately 70% of the world population will concentrate in some type of city finally come true. With these boundary conditions, it is evident that the achievement of more efficient and sustainable cities is an unavoidable objective for which politicians, managers and technicians must work in order to guarantee the quality of life of their citizens. Although this paradigm of sustainability and efficiency has always been present in the managers of cities, it has not been until very recently that technology has made available to the responsible parties a plethora of possibilities that, when properly employed, translate into significant savings. At the same time, the day-to-day improvement of the citizens is consolidating a new urban concept in which the different processes and systems that occur in it are continuously monitored in both time and space. This paper reviews the evolution of one of the pioneering examples of such cities, Santander, where an Internet of the Things infrastructure was deployed a decade ago. In this time, multiple technologies and services have been developed and deployed in smart city pilots. The paper discusses the key lessons learnt from the digitalization of the city and the new challenges that have arisen as we were paving the way for a smarter and more liveable city.This work has been funded by the Spanish Government (MINECO) under Grant Agreement No. RTI2018-093475-A-I00 FIERCE (Future Internet Enabled Resilient smart CitiEs) project

From the Concept of Flexible Mobility Services to the ‘Shared Mobility Services Agency’

ACKNOWLEDGEMENT This research was supported by the Research Councils UK Digital Economy programme award (reference: EP/G066051/1) to the dot.rural Digital Economy Hub, at the University of AberdeenPostprin

A user-centric framework to improve the reusability

A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Geographic Information SystemsOpen data has a profound effect in working environments in which information is created and shared at all levels. At the local government level, open-data initiatives have resulted in higher levels of transparency as regards policies. Greater engagement between decision-makers and citizens has changed the way data analysis and evidence are used to support local governance. Initiatives on open data are currently playing an essential role in local governments. However, the current challenge of local open data that authorities are facing has gradually changed from accessibility issues to measures of the impact of the ongoing open-data projects, from more data catalogs to sustainable and increasing levels of reuse of released data, and better reusability of open data. Despite an increasing amount of data being made open, few studies have looked into its level of reusability, and the barriers that hamper the reuse of open geodata from a data consumer’s perspective are an issue that most communities of data users are currently faced with. Some frameworks are showing how the level of maturity in national open-data initiatives is either increasing or decreasing, but there is still a need for a specific framework to guide local data authorities to engage their current users and also help them to move toward a bottom-up approach. This research contributes with three elements in this regard. The first is the current status of the level of reuse of open geodata in cities. This is followed by a taxonomy of the barriers faced by data users in Colombia and Spain, and the third is a set of elements that shape a user-centric framework to help data authorities improve the level of reuse of published open geodata in their ongoing local initiatives. The proposed taxonomy and framework are based on a literature review, an online survey, and a set of participatory workshops conducted in four selected cities (Bogotá, Medellín, Cali in Colombia and Valencia in Spain), with local data authorities and user communities from different backgrounds and with experience in the field of open data. The taxonomy presented in this research highlights a number of issues such as outdated data, low integration of data producers, and difficulty to access data, the most relevant from the data consumer’s point of view being misinterpretation and misuse of released data and their terms of use. Once the barriers had been identified and validated with data users across the selected cities, this research defined the elements included in a conceptual framework that local authorities could use as a guideline to improve the level of reuse in their ongoing open data initiatives. The core elements of this framework are what are defined as ’Impact Enablers’, which consist of three aspects considered by the literature reviewed as relevant to improve the positive impact of current initiatives. These three factors are: A) the requirements of data-user communities; B) open data at city level as a way to promote and engage users; and finally, C) a geographic approach to improving the level of reusability of released data due to its potential to engage more users. The second part of the proposed framework is made up of four connected elements: 1) The complete identification of data-user communities and their needs; 2) The community of reuse as a set of technological tools to promote the reusability of released data; 3) User-focused metadata; and 4) Reuse-focused legal terms. The elements mentioned earlier were compiled and included due to their relevance for data-user communities in the four use cases included in this research. This framework provides a clear path for local data authorities to reshape their current open data strategies so as to include data-user requirements and move toward a bottom-up approach. The research ends with a discussion and some concluding points, in addition to several limitations in the application of our findings. At the end of this dissertation, a roadmap for future research and implementations are presented, taking into account some reflections on the framework

Internet of things

This is an introductory course to the IoT (Internet of things). In the early chapters the basics about the IoT are introduced. Then basics of IPv6 internet protocol that is the most used in IoT environment as well as main applications, the current state of the market and the technologies that enable the existence of the IoT are described. Finally the future challenges that are considered most important are discussed.Peer ReviewedPostprint (published version

Internet of Things Applications - From Research and Innovation to Market Deployment

The book aims to provide a broad overview of various topics of Internet of Things from the research, innovation and development priorities to enabling technologies, nanoelectronics, cyber physical systems, architecture, interoperability and industrial applications. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC – Internet of Things European Research Cluster from technology to international cooperation and the global "state of play".The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level. Internet of Things is creating a revolutionary new paradigm, with opportunities in every industry from Health Care, Pharmaceuticals, Food and Beverage, Agriculture, Computer, Electronics Telecommunications, Automotive, Aeronautics, Transportation Energy and Retail to apply the massive potential of the IoT to achieving real-world solutions. The beneficiaries will include as well semiconductor companies, device and product companies, infrastructure software companies, application software companies, consulting companies, telecommunication and cloud service providers. IoT will create new revenues annually for these stakeholders, and potentially create substantial market share shakeups due to increased technology competition. The IoT will fuel technology innovation by creating the means for machines to communicate many different types of information with one another while contributing in the increased value of information created by the number of interconnections among things and the transformation of the processed information into knowledge shared into the Internet of Everything. The success of IoT depends strongly on enabling technology development, market acceptance and standardization, which provides interoperability, compatibility, reliability, and effective operations on a global scale. The connected devices are part of ecosystems connecting people, processes, data, and things which are communicating in the cloud using the increased storage and computing power and pushing for standardization of communication and metadata. In this context security, privacy, safety, trust have to be address by the product manufacturers through the life cycle of their products from design to the support processes. The IoT developments address the whole IoT spectrum - from devices at the edge to cloud and datacentres on the backend and everything in between, through ecosystems are created by industry, research and application stakeholders that enable real-world use cases to accelerate the Internet of Things and establish open interoperability standards and common architectures for IoT solutions. Enabling technologies such as nanoelectronics, sensors/actuators, cyber-physical systems, intelligent device management, smart gateways, telematics, smart network infrastructure, cloud computing and software technologies will create new products, new services, new interfaces by creating smart environments and smart spaces with applications ranging from Smart Cities, smart transport, buildings, energy, grid, to smart health and life. Technical topics discussed in the book include: • Introduction• Internet of Things Strategic Research and Innovation Agenda• Internet of Things in the industrial context: Time for deployment.• Integration of heterogeneous smart objects, applications and services• Evolution from device to semantic and business interoperability• Software define and virtualization of network resources• Innovation through interoperability and standardisation when everything is connected anytime at anyplace• Dynamic context-aware scalable and trust-based IoT Security, Privacy framework• Federated Cloud service management and the Internet of Things• Internet of Things Application

Cognitive Hyperconnected Digital Transformation

Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex information systems, customer experience, analytics and intelligence to enable new capabilities and business models for digital business