IEEE 6th World Forum on Internet of Things
5-9 April 2020 // New Orleans, Louisiana, USA

Tutorials

 

 Tutorial Submission Guidelines

 

Sunday, 5 April 2020 (4 hr)

TUT‐01: Internet of Things Systems: A Guided Tour with Interoperability Focus
TUT‐02: Dispersed Computing and IoT Data Marketplaces using Jupiter and I3
TUT‐03: Lifetime Extension Challenges and Techniques for Energy Harvesting‐Based IoT Networks
TUT‐04: Prototyping Mobile‐enabled Medical Devices using MIT App Inventor platform
TUT‐05: IoT for Smart Mobility

Sunday, 5 April 2020 (2 hr)

TUT‐06: AI‐STREAM Digital Transformation Challenge Event: The BIG Data vs Sparse Data Challenge
TUT‐07: Understanding IoT Security Risks and Resilience: From Networks to Supply Chain
TUT‐08: Challenges of IoT to Blockchain and other Distributed ledgers Models
TUT‐09: IoT enabled Optical Fibre Sensors for Healthcare Monitoring Applications
TUT‐10: Health Risk and Safety of 5G/IoT Services

 

TUT‐01: Internet of Things Systems: A Guided Tour with Interoperability Focus

Date: Sunday, 5 April 2020
Time:

Room:

Presenters: 

Milan Milenkovic, IoTsense LLC, CA, USA

Abstract: This tutorial provides an overview of IoT systems and interoperability. It describes the key aspects of IoT system design and architecture, including coverage and analysis of all major components –sensors, edge, fog, communications, cloud, data processing with analytics ML and AI, security and management. The emphasis is on providing a balanced treatment at roughly equal level of depth for all covered topics, based on the presenter’s forthcoming book “Internet of Things: Concepts and System Design” (Springer). The presentation approach is function and purpose driven in the sense that each component is described in terms of the role it fulfills in the system’s overall mission. That is to safely and securely collect real-world data, analyze, and act on the findings in a manner that impacts the physical world either by means of direct actuation or by optimization of control processes. An important focus of the tutorial is to highlight the importance of and the need for semantic interoperability in IoT systems. It describes how this requirement is different from the world-wide web and why it is necessary to enable big IoT data aggregations for meaningful insights and processing by ML and AI techniques. It also provides the ability to (re)use the collected data – arguably the most important asset of an IoT system – even when evolving the implementation or migrating to another platform. The structure of information and data models commonly used for the purpose are described and their salient features are identified. Several examples of IoT object definitions are provided from the evolving IoT standards – IPSO (LWM2M), OCF,Haystack – to illustrate their similarities and differences. Three different levels of pragmatic interoperability – intra-domain, inter-domain, and multi-domain – are introduced and ways for achieving them in practice are outlined.

TUT‐02: Dispersed Computing and IoT Data Marketplaces using Jupiter and I3

Date: Sunday, 5 April 2020
Time:

Room:

Presenters: 

Gowri Sankar Ramachandran, Quynh Nguyen, Sampad Mohanty and Bhaskar Krishnamachari,
Viterbi School of Engineering, University of Southern California, USA

Abstract: Cities around the world are starting to deploy IoT applications to monitor and control the environment remotely. Covering a city with IoT deployments involving a single organization is economically expensive while introducing management complexity. Data marketplaces are being developed to help cities create ecosystems around IoT where application developers can buy real-time data from device owners. Such a model minimizes the management complexity while allowing the application developers to consume data from multiple devices and neighborhoods easily. In this tutorial, we present I3, an IoT data marketplace which simplifies the process of posting, finding, and subscribing to IoT data products. While I3 simplifies data collection for application developers, they still need to process and analyze the data to make informed decisions. We also present Jupiter, a dispersed computing framework that allows application developers to process IoT data efficiently using AI/ML pipelines over hybrid edge and cloud platforms.

TUT‐03: Lifetime Extension Challenges and Techniques for Energy Harvesting‐Based IoT Networks

Date: Sunday, 5 April 2020
Time:

Room:

Presenters: 

Johan Jair Estrada‐Lopez, Computer Engineering Group, Faculty of Mathematics,
Autonomous University of Yucatan (UADY) Merida, Yucatan, Mexico.

Abstract: Many Internet of Things (IoT) applications consist of a large number of wireless sensor node swith limited hardware and stringent constraints in terms of energy storage capability. Therefore, to deploy a reliable IoT network with uninterrupted service requires the judicious application of several energy conservation and energy harvesting techniques that would help to extend battery life or if possible, enable a complete energy-autonomous (batteryless) operation. In this tutorial, a general, systematic and comprehensive survey of lifetime extension methods is presented, with a specific focus on the sensors and network layers of the IoT architecture. Within that context, a thorough discussion on dynamic power management (DPM) techniques at the hardware level will be provided, together with the design of multiple-input energy harvesting circuits and systems. Finally, the development of alternative/novel harvesting transducers for IoT-related applications will be presented. Examples from both the speaker’s research work and from state-of-the-art literature will be given.

TUT‐04: Prototyping Mobile‐enabled Medical Devices using MIT App Inventor platform

Date: Sunday, 5 April 2020
Time:

Room:

Presenters: 

Sarvesh Karkhanis, Freelance Educator and Tech. Consultant, Thane, Maharashtra, India

Abstract: This tutorial is a jump start lesson on how medical researchers or product designers in the field of Healthcare can utilize the powerful MIT App Inventor platform for rapid-prototyping of IoT enabled Medical devices. This tutorial is conducted in the DIY format and would enable audience to learn linking and utilizing simple rapid-prototyping tools to create an actual Medical Device prototype. Though the audience are not required to, they are encouraged to bring the recommended inexpensive material from the provided Bill of Material for an enriching hands-on experience, through which they would build the prototype IoT Medical Device.

TUT‐05: IoT for Smart Mobility

Date: Sunday, 5 April 2020
Time:

Room:

Presenters: 

Ana Aguiar, University of Porto, Instituto de Telecomunicações, Portugal

Abstract: Smarter mobility is expected to play a key role in the reduction of urban carbon footprint by changing the way people move. The Internet of Things can foster this change by supporting better transportation planning and by improving the mobility experience in more environmental friendly modes.This tutorial will discuss requirements, challenges, and solutions for both dimensions, distilled from 7years of experimental projects in the field of intelligent mobility in the city of Porto. Concretely, the tutorial will cover the challenges of building and using mobile crowd sensing to collect data for urban planning research, and show how it may be useful. It will showcase applications that leverage wireless systems and mobile Internet of Things on public and soft transportation to improve the mobility experience in these more environmental friendly modes. Several examples of real world performance characterization will be presented and discussed, identifying limitations of the solutions and improvement opportunities. Finally, it will showcase how pieces can be integrated in a large trans disciplinary use case: eco-routing for city-wide traffic distribution.

TUT‐06: AI‐STREAM Digital Transformation Challenge Event: The BIG Data vs Sparse Data Challenge

Date: Sunday, 5 April 2020
Time:

Room:

Presenters: 

Ahmed Hag ElSafi and Rami Zewail, Smart Empower Innovation Labs Inc., Edmonton, Alberta,
Canada

Abstract: In the Era of BIG Data and Internet-Of-Things, there has been an ever-growing demand for efficient modeling and analyzing of high-resolution and large-scale volumes of data from wide variety of sources. Efficient Handling of BIG Data is an essential building block of digital transformation and Industry4.0 Initiatives. In response to these challenges, efficient data representation has been drawing much attention lately within the research community. Concepts of sparse representation and compressed Sensing are emerging techniques that have great potentials to meet challenges such as device power consumption, data redundancy, bandwidth, and data storage and transmission. In this hands-on tutorial,the speakers would present an overview of the role sparsity in machine learning with application to Industrial Internet-of-Things (IIoT). The tutorial event would also include hands-on demonstration on how Sparse data analytics can help overcome some of the challenges in BIG DATA. The tutorial will be concluded with the release of a digital transformation competition with the theme “BIG Data vs Sparse data” . The competition would be open to participants through AI-STREAM: A Data science competition platform dedicated to Digital Transformation and Industry 4.0 Challenges.

TUT‐07: Understanding IoT Security Risks and Resilience: From Networks to Supply Chain

Date: Sunday, 5 April 2020
Time:

Room:

Presenters: 

Junaid Farooq and Quanyan Zhu, New York University, NY, USA

Abstract: The widespread adoption of the IoT is becoming indispensable in all industry verticals such as in energy, transportation, communications, emergency services, public administration, defense, etc., due to their burgeoning scale and complexity. However, the cyber-physical integration is also opening doors for malicious cyber activity to sabotage their performance and/or operation. Furthermore, the IoT is composed of various different interconnected components that may be designed, manufactured, and operated by different entities located in different parts of the world. This adds an additional threat vector relating to the supply chain of the IoT ecosystem with possible attacks from backdoor and stealthy channels. Since the incapacitation or destruction of infrastructure systems can have a debilitating effect on national security, economy, public health, and safety, it is imperative to understand risks in IoT systems and take necessary steps to mitigate them. This tutorial is aimed at identifying and categorizing the different types of security risks in IoT systems starting from the network layer to the supply chain layer. It will also provide an overview of the potential strategies that can be employed to avoid the possibility of large scale coordinated attacks from network entities or supply chain actors. Finally, an overview of the possible research directions relating to the security and resilience of IoT systems will be provided.

TUT‐08: Challenges of IoT to Blockchain and other Distributed ledgers Models

Date: Sunday, 5 April 2020
Time:

Room:

Presenters: 

Gustavo Giannattasio, IEEE Technology and Engineering Management TEMS Member at Large
2020, Comsoc Uruguay Chapter Chair, Uruguay

Abstract: With the pervasive presence of Blockchain solutions in the industry, a real challenge arises when trying to apply for IoT solutions. The fact that the Trilemma (Scalability, Decentralization and Security)cannot be solved simultaneously by Conventional Blockchain models. Reason includes the large amount of sensors , the centralized model of most cloud solutions, and MCU limitations on security by design on the sensor are a real challenge. Some initiatives include sharding, partitioning, multichain and other forks of Blockchain but that is not enough considering the need to get rid of Miners on order to process micro transactions typical of most sensors. Typical IOT sensors sends a reduced set of parameters like temperature, humidity, pollution parameters, parking positions etc that actually represent a small amount of data not attractive to the Miners to validate. It is similar to the restriction applied to micro transactions where small amount of money is to be secured by Blockchain Miners cannot be used for microtransactions for the same reason. Data transfer Delay is perhaps one of the most crucial issues when trying to apply Blockchain, and this issue is not tolerable for M2M data transactions like Autonomous vehicles,Industrial Internet of things applied to Industry 4.0 etc.

TUT‐09: IoT enabled Optical Fibre Sensors for Healthcare Monitoring Applications

Date: Sunday, 5 April 2020
Time:

Room:

Presenters: 

Elfed Lewis, Optical Fibre Sensors Research Centre (OFSRC), Dept. of Electronic and Computer
Engineering, University of Limerick, Limerick, Ireland

Abstract: Wireless enabled sensors for use in IoT have shown massive recent growth due to the growing demand for a well-established market in commercial body parameter measurement e.g. heartbeat, step counting etc. However, there exists a real need for IoT enabled devices for patient monitoring in the clinical environment. Some of these measurements are quite specialized and require the use of niche sensors e.g. in the presence of strong electromagnetic fields such as those encountered in proximity to magnetic Resonance Imaging or Computerized Tomography (CT) scanning machines. This tutorial is designed to provide fundamentals that underpin modern optical fiber based sensors and their use as IoT enabled. An example of a real functioning sensor will be provided to demonstrate the working principle sreferred to above via description of a portable 3-D Printed Plastic Optical Fiber Sensor for monitoring of breathing pattern and respiratory rate.

TUT‐10: Health Risk and Safety of 5G/IoT Services

Date: Sunday, 5 April 2020
Time:

Room:

Presenters: 

Riadh W. Y. Habash, School of Electrical Engg. and Computer Science, University Of Ottawa,
Ontario, Canada

Abstract: Many of today’s inventions, ranging from wireless communication networks to intelligent environment (buildings, cities, transportation), intelligent living (automotive and consumer products), and intelligent enterprise (health, utilities, retail, manufacturing, energy, construction, agriculture), are so important and advantageous that we wonder how we ever lived without them. These inventions have become an integral part of our life. Sure, they are useful; however, we need to know that they are safe!With enhanced connectivity and use security, the concept of “5G/IoT/AI” is becoming a public good that everyone will have access to and right to know about. It is essentially about life, health, and safety. With the proliferation of the IoT smart connected devices, study of the interaction mechanisms between nonionizing electromagnetic (EM) fields and human body is significant to give learners as well as society a deeper, more meaningful glimpse into the impact of EM fields on human health and safety. The content setting of this tutorial offers participants the chance to develop knowledge in a wide domain of subjects including EM theory and applications, dosimetry (macro and micro), safety standards and exposure assessments, observational and experimental evaluation studies, and risk science, with a goal to bring the research methodology closer to user experience reach.