Monday, 15 April 2019
Thursday, 18 April 2019
WS1-The Fourth IEEE International Workshop on Security and Privacy for Internet of Things and Cyber-Physical Systems (IoT/CPS-Security 2019)
Date: Monday, 15 April
Room: Charles Parsons
Prof. Houbing Song, Embry-Riddle Aeronautical University, USA
Prof. Anastasios A. Economides, University of Macedonia, Greece
Prof. Minho Jo, Korea University, Korea
Prof. Qinghe Du, Xi’an Jiaotong University, P.R. China
Description: Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and distributed physical components. Internet of Things (IoT) is the networking infrastructure of CPS. Trillions of network-connected objects are expected to emerge in the global network around 2020. Cybersecurity and privacy has emerged as a major concern as a human rights issue, a commercial concern, and a national security issue affecting infrastructure, health services and safety. Modern CPS incorporate components from different providers using explicit interface standards that specify communication protocols. The trend towards distribution has recently accelerated as these systems have been employing the IoT as a backbone. The integrity and reliability of communications and networking are critical for security and privacy for IoT and CPS. This is why hosting the workshop at IEEE WF-IoT 2019. Potential contributors include industry professionals, scientists, academics and government officials committed to advancing communications and networking research to address cybersecurity and privacy challenges.
WS2-4th Edition of Globe-IoT 2019 Towards Global Interoperability Among IoT Systems
Date: Monday, 15 April
Room: John Holland
Giancarlo Fortino, University of Calabria, Italy
Carlos E. Palau, Universitat Politecnica de Valencia, Spain
Min Chen, HUST, China
Mengchu Zhou, New Jersey Institute of Technology, USA
Noel Crespi, Institut Mines-Telecom, France
Description: While still in its infancy, the IoT domain already lists a number of solutions implemented, ranging from devices to platforms. However, the heterogeneity at all levels of those solution is preventing different solutions to interoperate effectively, despite a large number of efforts in the development of a unique reference standard for IoT systems technology. The situation is likely to worsen in the near future, as lack of interoperability causes major technological and business-oriented issues such as impossibility to plug non-interoperable IoT devices into heterogeneous IoT platforms, impossibility to develop IoT applications exploiting multiple platforms in homogeneous and/or cross domains, slowness of IoT technology introduction at large-scale, discouragement in adopting IoT technology, increase of costs, scarce reusability of technical solutions, security and privacy problems, user dissatisfaction.
This Workshop aims at investigating such lack of interoperability in the IoT realm by welcoming paper submissions providing innovative research as well as technical contributions on providing solutions to interoperability, integration, and interconnection of heterogeneous IoT systems, at any specific level (device, networking, middleware, application services, data and semantics) and at global platform level.
WS3-1st Workshop on Emerging Technologies & Trends in Engineering Low Power Networks (NewNets)
Date: Monday, 15 April
Room: Charles Parsons
Description: A founding pillar of the Internet of Things concept is the availability of low-cost low-power devices with wireless technologies providing both sensing and actuation. In the past decade, the research community have produced proven solutions to build low-power mesh networks mostly based on short-range technologies (e.g., IEEE 802.15.4, ZigBee, Bluetooth, ZWave). However, due to the increased overhead incurred for maintaining these mesh networks, a new trend appeared: the use of long-range radio modules that remove all the complexity of network maintenance, while keeping the same low-power consumption. These long-range radio communication technologies (e.g., SigFox, LoRa, NB-IoT, 802.15.4g) are now considered as candidate technologies for many IoT applications, especially those that require extended coverage, such as citywide sensing, environmental monitoring, or remote infrastructure monitoring.
The aim of this workshop is to bring together researchers and practitioners working in the field of IoT from both academia and industry, to discuss and explore short-range and long-range solutions, the tradeoffs between these two paradigms, as well as how they can be used in synergy. In order to push the state of the art, several points need to be addressed: new features for the long-range technologies (i.e., over-the-air updates, roaming), radio resource management, regulations and policies on spectrum usage and sharing, business case analysis that are more well suited for certain vertical markets. As such, the workshop is of fundamental importance and fits perfectly in the realm of WF-IoT
8:30-8:40 Workshop Opening Remarks, Usman Raza (Toshiba Research Europe Limited)
8:40-9:05 “Propagation Model Evaluation for LoRaWAN: Planning Tool Versus Real Case Scenario”
LoRa has emerged as a prominent technology for the Internet of Things (IoT), with LoRa Wide Area Network (LoRaWAN), emerging as a suitable connection solution for smart things. The choice of the best location for the installation of gateways, as well as a robust network server configuration, are key to the deployment of a LoRaWAN. In this paper, we present an evaluation of Received Signal Strength Indication (RSSI) values collected from the real-life LoRaWAN deployed in Skellefteå, Sweden, when compared with the values calculated by a Radio Frequency (RF) planning tool for the Irregular Terrain Model (ITM), Irregular Terrain with Obstructions Model (ITWOM) and Okumura-Hata propagation models. Five sensors were configured and deployed along a wooden bridge, with different Spreading Factors (SFs), such as SF 7, 10 and 12. Our results show that the RSSI values calculated using the RF planning tool for ITWOM are closest to the values obtained from the real-life LoRaWAN. Moreover, we also show evidence that the choice of a propagation model in an RF planning tool has to be made with care, mainly due to the terrain conditions of the area where the network and the sensors are deployed.
Presenter 1 Níbia Souza Bezerra (Luleå University of Technology, Sweden)
Presenter 2 Christer Åhlund (Lulea University of Technology, Sweden)
Presenter 3 Saguna Saguna (Luleå University of Technology, Sweden)
Presenter 4 Vicente A. de Sousa Jr. (Federal University of Rio Grande do Norte & Group for Researching and Fast Prototyping Solutions for Communication (GPPCOM), Brazil)
9:05-9:30 “An Energy-Aware Wireless Sensor Network for Data Acquisition in Smart Energy Efficient Building”
Extending the battery life-time of Internet of Things (IoT) devices is still a challenging research question. A lot of work has been done to optimize IoT wireless sensors in terms of hardware architecture, operating system, along with the usage of low power data acquisition techniques and energy aware routing protocols. In Smart Energy Efficient Building (SEEB), Energy Management System (EMS) uses WSN for data acquisition to monitor energy consumption and to track user behaviour. For EMS, context recognition is a key element for HVAC (Heating, Ventilation and Air Conditioning system) control. Therefore, the more the context is precise, the more the decision that will be taken, by the EMS, is accurate. In most SEEB, sensor nodes are configured to send data periodically. Thus, unnecessarily increasing battery-energy consumption as sensor nodes keep sending redundant data (e.g., when context did not change). To solve this issue, we propose an Energy Aware Context Recognition Algorithm (EACRA) that dynamically configures sensors to send specific data under specific conditions and at a specific time, thus avoiding redundant data transmissions. This algorithm uses SEEB declared knowledge, and forcing the sensor node to send data only when context changes. The experiment results shows the difference between the periodic sampling and sampling using EACRA in terms of energy consumption.
Presenter 1 Najem Naji (Ibn-Tofail University, Morocco)
Presenter 2 Mohamed Riduan Abid (Al Akhawayn University, Morocco)
Presenter 3 Nissrine Krami (ENSA K, Morocco)
Presenter 4 Driss Benhaddou (University of Houston, USA)
9:30:10:10 Keynote: “Edge Intelligence for IoT & Emerging Trends”, Keith Nolan (Centre for Intelligent Power, Eaton, Dublin, Ireland)
The Internet of Things concept is evolving. Computation and intelligence are moving between the cloud right to the very edges of a network. Acting on data where and when they are produced enables faster decision making and control. Connecting assets helps make machines more intelligent and aware of their environment. This talk will discuss the increasing range of wireless and wired communications and networking technologies used to connect assets ranging from low-power wide area (LPWA) to high-reliability wireless LAN and time-sensitive networking. Emerging trends including a massive increase in variety and volumes of devices and data, and an increased focus on revenue generation & cost optimisation will also be addressed. Sensing is becoming increasingly multimodal and media-driven. Real-time insights are required to support decision-control loops that operate in microsecond to millisecond timescales for mission-critical industrial control and processing. Edge intelligence and low-latency quality of service will support the next generation of immersive user experiences. Dr. Nolan will also discuss how moving computation to the edge helps to increase data privacy & security for user/enterprise and diverse geographies.
10:10-10:30 Panel: “Advances in Low Power Wide Area Networks”
WS4-First Workshop on Internet of Things for Transportation and Logistics (IoTTL)
Date: Monday, 15 April
Room: Charles Parsons
Description: The Internet of Things has the potential to dramatically impact the way in which transportation and logistics systems are managed. In fact, by exploiting real time information collected in the field it is possible to reduce costs, improve the performance of managed transportation and logistic systems, and introduce novel services so supporting new business models. For this to happen, however, a close cooperation is necessary between experts of the vertical domains and IoT technology developers. In fact, real impact will be possible only if technologies are based on the actual application domain requirements and if vertical solutions will be developed considering the full potentials of available technologies.
In such a context, objective of this workshop is to bring together experts of the transportation and logistic domain as well as IoT researchers and practitioners so fostering the reach of a common language and playground to be used further R&D activities.
Accordingly, topics of interest for submissions include, but are not limited to:
- Internet of things and transportation systems
- IoT in logistics management
- Large scale IoT based warehouse systems
- Intelligent Transportation Systems
- M2M communications in transportation and logistics
- Smart supply chain management
- IoT performance evaluation and modelling
- Data mining analytics applied to smart logistics systems
- IoT architecture, tools and applications for data analysis
- IoT platforms for big data and data analytics
- Innovative Big Data processing for the IoT
- Smart environments and applications
- Machine learning and Real-time intelligence
- Intelligent sensors and sensing applications
- Challenges in big data storage and processing
- Mining and recommendation techniques for IoT environments
- Data mining techniques applied to transportation and logistic domain
WS5-System Optimization for the 5G Era – Future Network Initiative Roadmap Exploration
Date: Thursday, 18 April 2019
Description: Key objective of IEEE Future Network Initiative (FNI) is to explore beyond 5G technologies for 3, 5 and ultimately 10 years into future. IEEE Future Network Initiative is developing a roadmap covering technologies from 12 different working groups addressing, e.g. standardization, mmWave, hardware, MIMO, Security, Application, Edge Automation, Satellite, Optics, and Testbeds among others.
The Systems Optimization working group within the IEEE FNI has been recently formed to explore various approaches for optimization of complex systems. We are engaged in assessment of future scenarios that are difficult to address (if not impossible) with traditional approaches. For example, Distributed Security and Mobility Management across heterogenous RATs for ultra-reliable low latency applications, and optimization of handoffs for the same is the most pertinent area that needs immediate attention. We are exploring various approaches to address such complex scenarios with non-traditional design and operational methodologies, e.g., employing use for emergence for self-organization and self-optimization.
The aim of this workshop is to bring together researchers and scientists from academia and industry, who are actively engaged in activities related to use of Complex System Design, Federated AI, and other novel techniques for optimization of 5G era systems. The day will be spent in informal interactive dialogue around topics of related research submitted for discussion in the workshop, with an objective to share research, identify synergies and explore possibility of collaboration to inform the research roadmap being developed by the IEEE FNI.