Showing papers by "Helen C. Leligou published in 2018"

Smart Grid: a demanding use case for 5G technologies

Abstract: The energy sector represents undoubtedly one of the most significant “test cases” for 5G enabling technologies, due to the need of addressing a huge range of very diverse requirements to deal with across a variety of applications (stringent capacity for smart metering/AMI versus latency for supervisory control and fault localization). However, to effectively support energy utilities along their transition towards more decentralized renewable-oriented systems, several open issues still remain as to 5G networks management automation, security, resilience, scalability and portability. To face these issues, we outline a novel 5G PPP-compliant software framework specifically tailored to the energy domain, which combines i) trusted, scalable and lock-in free plug ‘n’ play support for a variety of constrained devices; ii) 5G devices’ abstractions to demonstrate mMTC (massive Machine Type Communications), uMTC (critical MTC) and xMBB (Extended Massive BroadBand) communications coupled with partially distributed, trusted, end-to-end security and MCM to enable secure, scalable and energy efficient communications; iii) extended Mobile Edge Computing (xMEC) micro-clouds to reduce backhaul load, increase the overall network capacity and reduce delays, while facilitating the deployment of generic MTC related NFVs (Network Function Virtualisation) and utility-centric VNFs (Virtual Network Functions).

Scalable monitoring for multiple virtualized infrastructures for 5G services

Abstract: This paper presents a high level architecture and functionality details of the monitoring framework that has been implemented and integrated within the SONATA project, in order to support the management of 5G services under the Software Defined Networking / Network Function Virtualization (SDN/NFV) paradigm. The innovative framework, extending the functionality of Prometheus.io, is unique in its support for multiple Points of Presence (PoP), its extensibility using Websockets, and its availability as opensource. Keywords-NFV/SDN; Cloud Computing; Monitoring; SDN; NFV; Network Services.

Exploiting IoT Technologies for Personalized Learning

Abstract: This paper presents the IoT ready platform of the MaTHiSiS H2020 EU project. Sensing devices are used to capture the affect of learners during their interaction with learning material, which comes in the form of serious games although other forms are also considered. This interaction may use mobile devices such as smart mobile phones and tablets, but also robots. Within the context of MaTHiSiS, a learning process is broken down into "learning atoms", i.e., pieces of knowledge that may not be further divided. A set of learning atoms leads to a "learning goal", which is set by the tutor. The process of learning is non-linear, i.e., the order of learning activities that are presented to a user and are connected with a learning atom may be different per user. This personalization process may also have an influence in the difficulty of the learning actions and is modeled using the concept of the "learning graph". The overall system architecture complies to the IoT paradigm. A set of representative serious games developed for different use cases that exploit the available IoT infrastructure to personalize the learning experience is also presented.

Adaptive Learning Based on Affect Sensing

Abstract: This paper introduces an end-to-end solution for dynamic adaptation of the learning experience for learners of different personal needs, based on their behavioural and affective reaction to the learning activities. Personal needs refer to what learner already know, what they need to learn, their intellectual and physical capacities and their learning styles.

IoT European Security and Privacy Projects: Integration, Architectures and Interoperability

Abstract: The chapter presents an overview of the eight that are part of the European IoT Security and Privacy Projects initiative (IoT-ESP) addressing advanced concepts for end-to-end security in highly distributed, heterogeneous and dynamic IoT environments. The approaches presented are holistic and include identification and authentication, data protection and prevention against cyber-attacks at the device and system levels. The projects present architectures, concepts, methods and tools for open IoT platforms integrating evolving sensing, actuating, energy harvesting, networking and interface technologies. Platforms should provide connectivity and intelligence, actuation and control features, linkage to modular and ad-hoc cloud services, The IoT platforms used are compatible with existing international developments addressing object identity management, discovery services, virtualisation of objects, devices and infrastructures and trusted IoT approaches.

MATISSE: A Smart Hospital Ecosystem

Abstract: Current partially or even no automated in-hospital processes often allow unacceptable errors to occur, the effects of which may span from simple injury to mortality. Recent advances in the Internet of Things, smart tags and cloud technologies may decisively alter this fact and minimize such "never events". In this paper, MATISSE is presented as a smart hospital ecosystem, aiming to decisively decrease "never events" in the hospital value chain. Real-time drugs/pills lifetime/aptness verification and medication administration, patients' identification and association with drugs and medical exams, as well as real-time quality assessment are supported in the proposed ecosystem. The ecosystem leverages the exploitation of information lying in (dynamic) smart tags attached to physical and virtual entities of the ecosystem, as well as the integration of a smart medication cart. The paper presents the supported use cases and the architectural design of the proposed solution, while it provides insights in both the hardware and software assembly of the smart medication cart.