FrA4 – IoT Communications
Friday, 21 June 2019, 8:30-10:30, Room 4
Session Chair: Henning Sanneck (Nokia, Germany)
Dmitrij Lagutin (Aalto University, Finland); Francesco Bellesini (Emotion s.r.l., Italy); Tommaso Bragatto and Alessio Cavadenti (ASM Terni S.p.A., Italy); Vincenzo Croce (Engineering Ingegneria Informatica Spa, Italy); Yki Kortesniemi (Aalto University, Finland); Helen C. Leligou and Yannis Oikonomidis (Synelixis Solutions, Greece); George C. Polyzos (Athens University of Economics and Business, Greece); Giuseppe Raveduto (Engineering Ingegneria Informatica Spa, Italy); Francesca Santori (ASM Terni S.p.A., Italy); Panagiotis Trakadas (Synelixis Solutions Ltd., Greece); Matteo Verber (Engineering Ingegneria Informatica S.p.A., Italy)
The lack of interoperability between the IoT platforms has led to a fragmented environment, where the users and the society as a whole suffer from lock-ins, worse privacy, and reduced functionality. This paper presents SOFIE, a solution for federating the existing IoT platforms in an open and secure manner using distributed ledger technologies (DLTs) and without requiring modifications to the IoT platforms, and describes how SOFIE is used to enable two complex real life pilots: food supply chain tracking from field to fork and electricity distribution grid balancing with electrical vehicle (EV) charging. SOFIE’s main contribution is to provide interoperability between IoT systems while also enabling new functionality and business models.
Guillaume Vivier (Sequans, France); Lina Mroueh (Institut Supérieur d’Electronique de Paris, France); Valérian Mannoni (CEA, France); Vincent Berg (CEA LETI, France); Francois Dehmas (CEA-Leti Minatec, France); Yi Yu (ISEP, France); Diane Duchemin (University of Lyon, France); Jean-Marie Gorce (INSA-Lyon & CITI, Inria, France); Faouzi Bader (CentraleSupélec, France); Julio Manco-Vasquez (CentraleSupélec & IETR, France)
This paper proposes areas of improvement for Low Power Wide Area (LPWA) solutions. After recalling the rationale of these systems, it summarizes the main challenges of existing solutions and proposes various improvements at PHY and MAC layer that were investigated in context of the EPHYL project. NB-IoT and LORA were mostly considered in the analysis of existing techniques, while proposals for improvement address both waveform design and resource allocation strategy. We propose as well introduction of new paradigm such as network coding to benefit of the sparse characteristic of some LPWA use cases. Some of the proposals are validated experimentally in the FIT/CorteXlab environment, offering to the research community a framework to experiment and compare their improvements of LPWA systems.
Madhu Perkin and S Mini (National Institute of Technology Goa, India)
The Internet of Things (IoT) is a concept of computing that describes the idea of connecting physical objects to the internet. In general, IoT is a network of devices every object is connected through internet or some non-internet oriented connections like Bluetooth, ZigBee, etc. It features an IP address for Internet connectivity, and the communication occurs between these objects and other Internet-enabled devices and systems. IoT is typically used to monitor real time environment and hence generates huge volume of data. The cloud is an attractive IoT data storage option due to its cost and capacity benefits. But for time critical applications, it may be a challenge. Edge computing is a solution to this problem. Edge computing refers to computing data near to where it is created, at the edge of the network, instead of a central point far away. The computed and processed data is then sent to cloud. In order to achieve this, IoT nodes have to connect to the Edge computing devices. However, it is a challenge to identify the Edge Computing Device (ECD) to which each IoT node should connect. This work describes an approach to assign the IoT nodes to the ECDs based on a dynamic threshold value and a meta heuristic is applied to schedule the tasks so that the completion time is minimum. The results based on the simulation show the advantages of the proposed work.
Abhijan Bhattacharyya (Tata Consultancy Services Ltd., India); Suvrat Agrawal, Hemant Kumar Rath and Arpan Pal (Tata Consultancy Services, India)
The primary need for mass e-health service is, the remote doctor should be able to examine the patient through video communication over public Information and Communication Technology (ICT) infrastructure. However, poor ICT infrastructure creates a key obstacle for rural India due to low bandwidth and intermittent Internet connectivity. This paper critically examines the state of the public ICT infrastructure in India and proposes an end-to-end solution such that the Quality of Experience (QoE) for remote visual examination can be ensured over IP connectivity even in a 2G network. We extend previously proposed video streaming solution for Internet of Things (IoT) called A-REaLiST (Adaptive-RESTful Real time Streaming for Things). Thus we extend the design principles of IoT communication in order to achieve an acceptable QoE by effectively harnessing the latent potential in the existing infrastructure. Efficacy of the solution is determined through benchmarking experiments under realistic network conditions and comparing with existing state of the art.