IoT Transmission Technologies for Distributed Measurement Systems in Critical Environments

Distributed measurement systems are spread in the most diverse application scenarios, and Internet of Things (IoT) transmission equipment is usually the enabling technologies for such measurement systems that need to feature wireless connectivity to ensure pervasiveness. Because wireless measurement systems have been deployed for the last years even in critical environments, assessing transmission technologies performances in such contexts is fundamental. Indeed, they are the most challenging ones for wireless data transmission due to their intrinsic attenuation capabilities. Several scenarios in which measurement systems can be deployed are analysed. Firstly, marine contexts are treated by considering above-the-sea wireless links. Such setting can be experienced in whichever application requiring remote monitoring of facilities and assets that are offshore installed. Some instances are offshore sea farming plants, or remote video monitoring systems installed on seamark buoys. Secondly, wireless communications taking place from the underground to the aboveground are covered. This scenario is typical of precision agriculture applications, where the accurate measurement of underground physical parameters is needed to be remotely sent to optimise crops reducing the wastefulness of fundamental resources (e.g., irrigation water). Thirdly, wireless communications occurring from the underwater to the abovewater are addressed. Such situation is inevitable for all those infrastructures monitoring conservation status of underwater species like algae, seaweeds and reef. Then, wireless links happening traversing metal surfaces and structures are tackled. Such context is commonly encountered in asset tracking and monitoring (e.g., containers), or in smart metering applications (e.g., utility meters). Lastly, sundry harsh environments that are typical of industrial monitoring (e.g., vibrating machineries, harsh temperature and humidity rooms, corrosive atmospheres) are tested to validate pervasive measurement infrastructures even in such contexts that are usually experienced in Industrial Internet of Things (IIoT) applications. The performances of wireless measurement systems in such scenarios are tested by sorting out ad-hoc measurement campaigns. Finally, IoT measurement infrastructures respectively deployed in above-the-sea and underground-to-aboveground settings are described to provide real applications in which such facilities can be effectively installed. Nonetheless, the aforementioned application scenarios are only some amid their sundry variety. Indeed, nowadays distributed pervasive measurement systems have to be thought in a broad way, resulting in countless instances: predictive maintenance, smart healthcare, smart cities, industrial monitoring, or smart agriculture, etc. This Thesis aims at showing distributed measurement systems in critical environments to set up pervasive monitoring infrastructures that are enabled by IoT transmission technologies. At first, they are presented, and then the harsh environments are introduced, along with the relative theoretical analysis modelling path loss in such conditions. It must be underlined that this Thesis aims neither at finding better path loss models with respect to the existing ones, nor at improving them. Indeed, path loss models are exploited as they are, in order to derive estimates of losses to understand the effectiveness of the deployed infrastructure. In fact, some transmission tests in those contexts are described, along with providing examples of these types of applications in the field, showing the measurement infrastructures and the relative critical environments serving as deployment sites. The scientific relevance of this Thesis is evident since, at the moment, the literature lacks a comparative study like this, showing both transmission performances in critical environments, and the deployment of real IoT distributed wireless measurement systems in such contexts

IoT for measurements and measurements for IoT

The thesis is framed in the broad strand of the Internet of Things, providing two parallel paths. On one hand, it deals with the identification of operational scenarios in which the IoT paradigm could be innovative and preferable to pre-existing solutions, discussing in detail a couple of applications. On the other hand, the thesis presents methodologies to assess the performance of technologies and related enabling protocols for IoT systems, focusing mainly on metrics and parameters related to the functioning of the physical layer of the systems

Low-Power Wide-Area Networks: A Broad Overview of its Different Aspects

Low-power wide-area networks (LPWANs) are gaining popularity in the research community due to their low power consumption, low cost, and wide geographical coverage. LPWAN technologies complement and outperform short-range and traditional cellular wireless technologies in a variety of applications, including smart city development, machine-to-machine (M2M) communications, healthcare, intelligent transportation, industrial applications, climate-smart agriculture, and asset tracking. This review paper discusses the design objectives and the methodologies used by LPWAN to provide extensive coverage for low-power devices. We also explore how the presented LPWAN architecture employs various topologies such as star and mesh. We examine many current and emerging LPWAN technologies, as well as their system architectures and standards, and evaluate their ability to meet each design objective. In addition, the possible coexistence of LPWAN with other technologies, combining the best attributes to provide an optimum solution is also explored and reported in the current overview. Following that, a comparison of various LPWAN technologies is performed and their market opportunities are also investigated. Furthermore, an analysis of various LPWAN use cases is performed, highlighting their benefits and drawbacks. This aids in the selection of the best LPWAN technology for various applications. Before concluding the work, the open research issues, and challenges in designing LPWAN are presented.publishedVersio

A Distributed Audit Trail for the Internet of Things

Sharing Internet of Things (IoT) data over open-data platforms and digital data marketplaces can reduce infrastructure investments, improve sustainability by reducing the required resources, and foster innovation. However, due to the inability to audit the authenticity, integrity, and quality of IoT data, third-party data consumers cannot assess the trustworthiness of received data. Therefore, it is challenging to use IoT data obtained from third parties for quality-relevant applications. To overcome this limitation, the IoT data must be auditable. Distributed Ledger Technology (DLT) is a promising approach for building auditable systems. However, the existing solutions do not integrate authenticity, integrity, data quality, and location into an all-encompassing auditable model and only focus on specific parts of auditability. This thesis aims to provide a distributed audit trail that makes the IoT auditable and enables sharing of IoT data between multiple organizations for quality relevant applications. Therefore, we designed and evaluated the Veritaa framework. The Veritaa framework comprises the Graph of Trust (GoT) as distributed audit trail and a DLT to immutably store the transactions that build the GoT. The contributions of this thesis are summarized as follows. First, we designed and evaluated the GoT a DLT-based Distributed Public Key Infrastructure (DPKI) with a signature store. Second, we designed a Distributed Calibration Certificate Infrastructure (DCCI) based on the GoT, which makes quality-relevant maintenance information of IoT devices auditable. Third, we designed an Auditable Positioning System (APS) to make positions in the IoT auditable. Finally, we designed an Location Verification System (LVS) to verify location claims and prevent physical layer attacks against the APS. All these components are integrated into the GoT and build the distributed audit trail. We implemented a real-world testbed to evaluate the proposed distributed audit trail. This testbed comprises several custom-built IoT devices connectable over Long Range Wide Area Network (LoRaWAN) or Long-Term Evolution Category M1 (LTE Cat M1), and a Bluetooth Low Energy (BLE)-based Angle of Arrival (AoA) positioning system. All these low-power devices can manage their identity and secure their data on the distributed audit trail using the IoT client of the Veritaa framework. The experiments suggest that a distributed audit trail is feasible and secure, and the low-power IoT devices are capable of performing the required cryptographic functions. Furthermore, the energy overhead introduced by making the IoT auditable is limited and reasonable for quality-relevant applications

Distributed Infrastructuring and Innovation: an ethnographic enquiry into collaborative modes of work in an internet of things ecosystem

Emerging low-power wireless networks are being used for a range of data collection systems such as asset tracking, environmental monitoring, smart agriculture and smart city facilities. The relatively low costs of hardware components, modular network architectures and open standards are allowing a diversity of new actors to engage with the construction of ‘internet of things’ (IoT) networks and applications. Various branches of research within management studies, critical theory, design theory, feminism and science and technology studies (STS) have explored collaborative modes of technology development among heterogeneous groups of actors and addressed questions of how and why users become involved in technology development. There is however scant empirical and theoretical work on the involvement of ‘users’ and other non-conventional actors in contemporary data-oriented infrastructures such as the IoT. Conjointly, most policy roadmaps concerning the rise of pervasive data networks rely primarily on industry-oriented analyses and quantitative forecasts and hence remain blind to the involvement of non-corporate actors in the shaping of technological futures. Building on an STS-inflected framework, this study contributes to bridging this gap with a micro-level enquiry into collaborative work practices in the realm of the IoT. This thesis explores the case of The Things Network, an initiative with the mission to build low-power wireless networks in a decentralised fashion with a strong reliance on geographically dispersed contributors. The initiative is far removed from traditional top-down infrastructure implementation strategies and faces a range of ambivalences related to organisation, growth and sustainability. The study is concerned with the questions of what types of work, social organisations and artefacts are subsumed in the emerging ecosystem? why/how contributors organise and operate local networks? whether and how control is exerted by the project owners? and how the uneven actions of users and other non-conventional actors are implicated in the generation of technical improvements and outcomes? The methodology comprised a multi-site ethnographic exploration over two and a half years with the practitioners contributing variously to the construction of data networks and the development of IoT solutions within the initiative. An ecological analysis is developed, drawing on theories and concepts from infrastructure studies and the social shaping of technology framework. The evolution of the initiative is traced throughout the stages of inception, early scaling up and global expansion. Through casting low-power networks as ‘data infrastructure’, the analysis foregrounds the challenges and dilemmas associated with scaling up in the context of decentralisation. The concept of ‘distributed infrastructuring’ is proposed as a means to capture the orchestration of the piecemeal work of disparate and dispersed actors operating autonomously with a common network architecture. The findings suggest that this mode of infrastructuring is symptomatic of an industry trend towards an increasing fragmentation and distribution of professional development activities among a range of actors. We conclude that policy and practice would benefit from a nuanced recognition of the diversity of contributions, positionalities and preferences in the broad landscape of data-driven technologies

Holistic security 4.0

The future computer climate will represent an ever more aligned world of integrating technologies, affecting consumer, business and industry sectors. The vision was first outlined in the Industry 4.0 conception. The elements which comprise smart systems or embedded devices have been investigated to determine the technological climate. The emerging technologies revolve around core concepts, and specifically in this project, the uses of Internet of Things (IoT), Industrial Internet of Things (IIoT) and Internet of Everything (IoE). The application of bare metal and logical technology qualities are put under the microscope to provide an effective blue print of the technological field. The systems and governance surrounding smart systems are also examined. Such an approach helps to explain the beneficial or negative elements of smart devices. Consequently, this ensures a comprehensive review of standards, laws, policy and guidance to enable security and cybersecurity of the 4.0 systems