Wednesday, 9 June 2021, 16:00-17:30, Zoom Room
Session Chair: Rui Campos (INESC TEC)
Anomaly Detection in Optical Links Using State of Polarization Monitoring
Aamir Gulistan (Simula Research Laboratory, Norway); Steinar Bjørnstad (Norwegian University of Science and Technology, Norway)
We have demonstrated a vibration monitoring method in optical fibers that enables early fiber breakage and eavesdropping intrusion warnings. Change in the state of polarization (SOP) is continuously monitored in a commercial Gigabit Ethernet (GbE) transmission system. The detection sensitivity of vibrations in a fiber-cord laying on a firm surface is characterized by inducing vibrations in the audio frequency range using a loudspeaker. Two examples of vibration patterns are characterized demonstrating significant differences in the patterns both in amplitude and time-domain. Directly touching the fiber, emulating work in a node room, give higher amplitude and slower variations in SOP than hammer strikes on the surface close to the fiber. Ability to differentiate signatures of SOP variations based on analyzing frequency and amplitude is discussed.
On the Feasibility of Cost-Effective Emergency Flying Communications Networks
Rúben M Queirós (INESC TEC and FEUP, Portugal); Rui Campos (INESC TEC and Faculty of Engineering, University of Porto, Portugal); Helder Fontes (INESC TEC and FEUP, Portugal)
Natural disasters may compromise the wireless communications infrastructures typically used by first responders. On-demand flying networks have been investigated as a solution in the H2020 ResponDrone project to address the problem, using standard technologies such as Long Term Evolution (LTE) and Wi-Fi. In this paper, we propose and evaluate a cost-effective communications payload capable of providing LTE and Wi-Fi coverage, using Software Defined Radios (SDR) and off the shelf wireless modules, respectively. The experimental tests carried out using different SDR-based LTE frameworks show that this type of solutions still suffer from performance issues, with Wi-Fi being the only feasible solution.
RESPOND-A: An Initiative for Innovative Equipment, Tools and Mission-Critical Strategies for First Responders
Nicholas Sgouros (Eight Bells Ltd, Greece); Emmanouil Kafetzakis (Eight Bells Ltd., Cyprus); Ioannis Giannoulakis (Eight Bells Ltd, Cyprus); Dimitrios Nodaros and Alexandros Karatzos (Eight Bells Ltd, Greece); Georgios Kioumourtzis (Ianus Consulting Ltd, Cyprus); George Boustras (European University Cyprus, Cyprus); Anastasios Kourtis (NCSR Demokritos, Greece); Charilaos Zarakovitis (National Centre for Scientific Research Demokritos, Greece); Harbil Arregui (Vicomtech – Basque Research and Technology Alliance, Spain)
Rapidly evolving, high severity hazards in the form of natural or man-induced disasters require prompt and well-planned deployment of first responders to reduce the overall disaster footprint with specific emphasis on human lives. Increased situational awareness and better common operational picture requires not only new technologies like UAVs, UGVs AR/MR glasses and other modalities to be deployed in the field but also smooth, consolidated, bidirectional, augmented information flow between first responders and command centers. RESPOND-A is a technology enhancement initiative that focuses on providing First Responders with immediate access to technological advancements during their mission by integrating innovative equipment, robust data pipelines and network services. Our approach is expected to further enhance the deployment of optimal Risk Mitigation strategies and improve mission safety by enabling pre-disaster planning tools and post-disaster performance assessment and model integration to further improve performance in similar operations.
Underwater High Definition Wireless Video Streaming Using Data Muling
João Pedro Loureiro (University of Porto & INESC TEC, Portugal); Filipe Borges Teixeira (INESC TEC, Faculdade de Engenharia, Universidade do Porto, Portugal); Rui Campos (INESC TEC and Faculty of Engineering, University of Porto, Portugal)
The interest in cost-effective broadband wireless underwater communications has been motivated by practical applications demanding video collection by Autonomous Underwater Vehicles (AUVs). However, current communication technologies used in these scenarios limit underwater high definition video transfer to distances up to tens of meters.
In this paper we propose a new solution capable of performing adaptive and reliable high definition video streaming for distances in the order of kilometers, taking advantage of data mules.
Experimental results show the proposed solution enables video streaming for long distances with a reasonable first byte delay and continuous video delivery after just two Round-trip Times.
IoT System to Monitor the Well-Being of Senior Citizens Who Self-Isolate During the Pandemic
Fabio Gonçalves, Cassandra Jesus, Francisco Fernandes and Ana R. Rosa (Instituto Politécnico de Castelo Branco, Portugal); Rogerio Dionisio (Instituto Politecnico de Castelo Branco & DiSAC R&D Unit, Portugal)
The COVID-19 pandemic and the need for self-isolation has decreased the frequency of visits to senior citizens by family members or caregivers. Because of this, many health concerns of the elderly remained unresolved. We created a IoT system, called Zelar@CB, that monitors the daily activities of isolated elderly people who do not have access to at-home care. The proposed project detects unusual activity by monitoring the person’s usage of electrical appliances to track if the user left the stove on or if there is a change in usage. It can also detect when the user falls, and sends an alert to family members or caregivers.
Emergence of Blockchain Based IoT Marketplaces
Amila Prasanna Saputhanthri (University of Sri Jayewardenepura & Dialog Axiata PLC, Sri Lanka); Chamitha De Alwis (University of Sri Jayawardenepura, Sri Lanka); Madhusanka Liyanage (University College Dublin, Ireland & University of Oulu, Finland)
The demand for various smart applications in the Internet of Things (IoT) domain is overgrowing. These applications require access to the sensor data generated from different IoT applications. This IoT ecosystem needs a way for sensors and devices to make monetary transactions in exchange for these data services. This has given rise to the concept of IoT marketplaces that enables IoT sensors and devices to make monetary transactions in exchange for data. However, realizing IoT marketplaces comes with a number of challenges in several aspects ranging from data security, interoperability, and anonymity. Blockchain is identified as a suitable solution to overcome the challenges related to realizing IoT marketplaces. This paper discusses several IoT marketplace applications and presents the challenges in developing IoT marketplaces. Furthermore, possible blockchain solutions to overcome these challenges are also presented, paving the path towards blockchain-based IoT market places which enable the data suppliers (IoT sensors) and data consumers (IoT application owners) to trade seamlessly.
Design Framework of A NB-IoT Based Smart Asset Monitoring System for Logistics Solutions
Fathima Minza Ifrath, Rimzy Ahmed Zayeem and Amila Prasanna Saputhanthri (Sri Lanka Technological Campus, Sri Lanka)
Connectivity plays a major role in the Internet of Things (IoT) applications. Smart asset monitoring system is an IoT application which is essential in current Covid-19 situation to handle logistics solutions. In this paper, we provide a comprehensive survey on how the emerging technologies in terms of battery lifetime, cost, and range can provide the optimal solution to monitor the assets in the supply chain after scrutinizing their benefits surpassing the existing techniques. This paper introduces a low-cost Narrowband (NB)-IoT infrastructure with GSM for optimizing data transfer that allows to receive information about real time positioning and monitoring of assets inside warehouses and movable containers. We present a Wireless Sensor Network (WSN) to gather assets data such as temperature, humidity, tilt, and other parameters and monitor them in real time. Additionally, we suggest some energy harvesting methods to control fast battery drain. The basic digital twin artificial intelligence is also used with a machine learning algorithm for predictive modelling, where the data are fed to a cloud-based platform and delivered either via mobile apps or web portals.
SFSBroker: Secure and Federated Network Slice Broker for 5G and Beyond
Tharaka Mawanane Hewa, Nisita Weerasinghe and Pawani Porambage (University of Oulu, Finland); Anshuman Kalla (CWC, University of Oulu, Finland); George K Xilouris and Maria Christopoulou (NCSR Demokritos, Greece); Madhusanka Liyanage (University College Dublin, Ireland & University of Oulu, Finland); Mika E Ylianttila (University of Oulu, Finland)
In order to provide specialized network services for different use cases, network slicing was introduced as the key technological element in the fifth generation (5G) wireless networks. It is foreseen that the trend will continue even to the beyond 5G networks to support multi-tenant multi-operator scenarios that show advanced consumer connectivity demands. In 5G network slice broker is introduced as a new business model to allow dynamic interoperability and resource trading requirements of infrastructure providers, consumers, and mobile network operators in trading the network and computational resources. The network slice broker is running as a stand-alone third party which communicates with the network slice managers of the network operators. In this paper, we introduce how the secure and federated network slice broker (SFSBroker) can be integrated in the 5G architecture.
iNGENIOUS: Next-Generation IoT Solutions for the Universal Supply Chain
Nuria Molner (ITEAM – Instituto de Telecomunicaciones y Aplicaciones Multimedia & Universitat Politècnica de València, Spain); Carsten Weinhold (Barkhausen Institut, Germany); Erin E Seder (Nextworks, Italy); David Gomez-Barquero (Universitat Politecnica de Valencia, Spain)
The principle approach of the iNGENIOUS project is to build the next-generation supply chain by exploiting the wealth of data that the Internet of Things (IoT) can provide. Relevant use cases start right in the factories, where automated robots increase efficiency by working fully autonomously or by assisting human workers. To innovate logistics, IoT sensors shall monitor the safety-critical parts of land-based transport vehicles, thereby enabling longer maintenance intervals to reduce costs and ensuring reliable detection of defects that could otherwise lead to accidents. By integrating network technologies ranging from local-area wireless networks all the way up to satellites, the project aims to enable comprehensive tracking of assets in shipping containers across land and sea. iNGENIOUS also seeks to develop tools for optimising container loading and unloading in ports, as well as to exploit 5G networks to remotely control vehicles in situations, where humans would be in danger or exposed to adverse environmental conditions.
A Human Behavioral Pattern-Based Sampling Period Control in IoT-Digital Healthcare
Jaeseob Han and Gyeong Ho Lee (KAIST, Korea (South)); Jun Kyun Choi (Korea Advanced Institute of Science and Technology (KAIST), Korea (South)); Chang Jin Jung (KULS, Korea (South)); Inês Cunha (Ubiwhere, Portugal); Ricardo Gonçalves (PROEF, Portugal)
While recent years have witnessed a tremendous growth in the number of IoT sensors, energy poverty still remain as one of the longstanding issues for various IoT applications, especially digital healthcare and in-home health monitoring operations. To resolve the issue, we propose a technique of sampling period control in this paper. As a first step, we analyze the human behavioral pattern through historical information and subsequently model a Gaussian distribution with respect to data reliability for each sampling period to conserve energy of the sensor. Numerical results in terms of both energy reduction and data reliability are presented to validate the merits of our proposed approach.
FUDGE-5G: Fully Disintegrated Private Networks for 5G Verticals
David Gomez-Barquero (Universitat Politecnica de Valencia, Spain); Antonio Borges, Andre S. Gomes, Luis Cordeiro and Joao Henriques (OneSource, Portugal); Kashif Mahmood (Telenor, Norway); Sebastian Robitzsch (InterDigital Europe, United Kingdom (Great Britain))
The use of 5G for private networks has seen an increased interest in industry and standardisation alike with an expected increase of that market in the coming years. FUDGE-5G is the first 5G-PPP project that focuses solely on Non-private Network with an innovation space in the core network domain. Beyond utilising the advancements brought by 5G and the true adoption of cloud native principles in the telco world, Non-private Networks will bring the additional potential of fine tuned, use case and Quality of Service centric 5G Core realisations fostering multi-vendor deployments due to the narrower scope in their applicability. Five use cases have been identified in FUDGE-5G focusing on the benefit of Non-private Networks underpinning the high innovation and business impact for the private 5G network market.
End-To-End Data Protection Through the Computing Continuum in Smart Environments
Klaas Baert (VRT, Belgium); João Garcia (Ubiwhere, Portugal); Jens Kuhr (Nokia, Germany); Eliot Salant (IBM Haifa Labs, Israel); Robert Seidl (Nokia Bell Labs, Germany); Ricardo Vitorino (Ubiwhere, Portugal)
FogProtect: Protecting Sensitive Data in the Computing Continuum is a Research and Innovation action funded by the European Union’s Horizon 2020 Programme. It delivers new and advanced architectures, technologies, and methodologies for ensuring end-to-end data protection across the computing continuum, from cloud data centres through fog nodes to end devices. This paper introduces three real-world use cases that demonstrate the applicability of FogProtect solutions in multiple contexts and the impact of the project’s novel solutions for data protection. Three complementary smart environments demonstrate the applicability of FogProtect solutions to multiple contexts and the impact of the project’s novel solutions for data protection: smart cities, smart manufacturing and smart media.
5G-RECORDS 5G Key Technology Enablers for Emerging Media Content Production Services
David Gomez-Barquero and Irene Alepuz (Universitat Politecnica de Valencia, Spain); Cristina Avellan, Salvador García and Adrian Rodrigo (Universitat Politècnica de Valencia, Spain); Esther Madejón and Narciso García (Universidad Politécnica de Madrid, Spain)
5G-RECORDS explores the possibilities that 5G technologies and innovations may bring to the content production industry. The project targets the integration and validation of 5G technologies as part of an overall infrastructure in order to meet the requirements of the emerging market players in Europe, especially in the context of professional content production. Three use cases will be deployed in professional environments, enabling performance measurements and evaluation, aiming to explore and demonstrate the feasibility of using 5G in the context of professional content production, opening new horizons for the industry and generating new business models that will help to deliver value.
5GO Project, an Overview and Follow-Up Products
Luís Conceição (Ubiwhere, Portugal)
5GO is a key project enabler for the national development of 5G ecosystem, promoting the development of products and services for the main areas of future networks, the telecommunications core, the edge and vertical markets. In this poster it will be depicted the overall architecture of 5GO, comprehending all the developed products and services from all companies, while providing a more detailed description of four products, one addressing 5G monitoring, two addressing the 5G core telecommunications security and one vertical addressing automated civil protection. The poster thus provide an overview of the project, along with the interactions between all developed products in order to give an insightful perspective of a complete 5G deployment across different domains.
5G Based Fault Detection, Isolation, and Service Restoration System
Mohand Ouamer Nait Belaid (University of Gustave Eiffel & EDF SA, France); Vincent Audebert (EDf R&D, France); Boris Deneuville (EDF R&D, France); Frederic Faucheux (Nokia Bell Labs, France)
Effective and reliable information and communications technology (ICT) solutions play a vital role to ensure efficient two-way flows of information between power distributed components. Nowadays, wireless networks have been widely used to monitor and communicate real-time operating conditions of the power system. There are still many challenging problems concerning the proper ICT architecture applied to smart grid. In many cases, a good design for smart grid system requires interdisciplinary considerations of control, power electronics, communications, and computing techniques. The conducted work proposes a flexible communication architecture based on 5G, providing highly customized communication services according to diverse performance requirements demanded by the future Fault Detection, Isolation, and service Restoration (FDIR) schemes. It involves the implementation of new protection functions in order to complete the existing monitoring and automation features of the electric system.
