8.1 IoT Day Hot Topic Session: Challenges and Potentials for IoT Rollout

Time	Label	Presentation Title Authors
17:00	8.1.1	ULTRA-LOW POWER AND DEPENDABILITY FOR IOT DEVICES Speaker: Santiago Pagani, KIT Karlsruhe, DE Authors: Joerg Henkel¹, Santiago Pagani², Hussam Amrouch¹, Lars Bauer¹ and Farzad Samie¹ ¹Karlsruhe Institute of Technology, DE; ²Karlsruhe Institute of Technology (KIT), DE Abstract Abstract—Recent advances in technologies have allowed the design of small-size low-power and low-cost devices that can be connected to the Internet, enabling the emerging paradigm of Internet-of-things (IoT). IoT covers an ever-increasing range of applications, e.g., health-care monitoring, smart homes and buildings, etc. In this invited paper, we discuss and summarize the IoT paradigm with a special focus on energy consumption and methodologies for its minimization. Furthermore, we also discuss about reliability in the context of IoT devices. In all, this paper attempts to be a starting point for readers interested in developing energy-efficient IoT devices. Download Paper (PDF; Only available from the DATE venue WiFi)
17:30	8.1.2	SMARTER SPACES THROUGH LOCAL(IZED) OBJECT INTERACTIONS Speaker: Jean-Marie Bonnin, Telecom Bretagne, FR Authors: Jean-Marie Bonnin and Frédéric Weis, Telecom Bretagne, FR Abstract The technologies necessary for the development of pervasive applications are now widely available and accessible for many uses: short/long-range and low energy communications, a broad variety of visible (smart objects) or invisible (sensors and actuators) objects, as well as the democratization of the Internet of Things (IoT). Large areas of our living spaces are now instrumented. The concept of Smart Spaces is about to emerge, based upon both massive and apposite interactions between individuals and their everyday working and living environments. The potential applications are boundless. However, many scenarios are often designed in an ad-hoc manner depending on the target area of application. Resources (sensors / actuators, connected objects etc.) are used in silos which prevents using them for implementing several pervasive computing scenarios. They can only be used in the environment they had especially been developed for (for example "classical" home automation tasks: comfort, entertainment, surveillance). They are difficult to adapt to increasingly complex situations, even though the environments in which they evolve are more open, or change over time (new sensors added, failures, mobility etc.) As fine decisions can be made close to the objects producing and acting on the data. Local data characterization and local processing de-emphasize the computing and storage resources of the cloud. Therefore, developing a comprehensive set of new interactions models between objects in the field could help pervasive application designers in the development phase with the side effect to ease the life cycle management, and make objects more useful and more durable.
18:00	8.1.3	DEPLOYING IOT FOR INSTRUMENTATION AND ANALYSIS OF MANUFACTURING SYSTEMS Speaker: Sujit Rokka Chhetri, UC Irvine, US Author: Mohammad Al Faruque, University of California Irvine, US Abstract This talk will present a methodology to collect physical information (e.g., energy flows in the form of acoustics, vibration, electro-magnetic, etc.) effectively and efficiently from a manufacturing system using IoT infrastructure. Through applying information-theoretic analysis, we will show how to create a digital twin of the manufacturing system that may be used for process control (i.e., better decision making at different time-scales) and security. We will focus on the plug and play capability provided by the IoT, which will allow us to create digital twin of legacy manufacturing systems as well. We will demonstrate our work with an application in additive manufacturing system (3D printers). We will also present how in our recent work we have demonstrated that we can breach the confidentiality of a 3D printer by reconstructing an original 3D model from the printer's acoustic emission analysis.
18:30		End of session

Time

Label

Presentation Title
Authors

17:00

8.1.1

ULTRA-LOW POWER AND DEPENDABILITY FOR IOT DEVICES
Speaker:
Santiago Pagani, KIT Karlsruhe, DE
Authors:
Joerg Henkel¹, Santiago Pagani², Hussam Amrouch¹, Lars Bauer¹ and Farzad Samie¹
¹Karlsruhe Institute of Technology, DE; ²Karlsruhe Institute of Technology (KIT), DE
Abstract
Abstract—Recent advances in technologies have allowed the design of small-size low-power and low-cost devices that can be connected to the Internet, enabling the emerging paradigm of Internet-of-things (IoT). IoT covers an ever-increasing range of applications, e.g., health-care monitoring, smart homes and buildings, etc. In this invited paper, we discuss and summarize the IoT paradigm with a special focus on energy consumption and methodologies for its minimization. Furthermore, we also discuss about reliability in the context of IoT devices. In all, this paper attempts to be a starting point for readers interested in developing energy-efficient IoT devices.
Download Paper (PDF; Only available from the DATE venue WiFi)

17:30

8.1.2

SMARTER SPACES THROUGH LOCAL(IZED) OBJECT INTERACTIONS
Speaker:
Jean-Marie Bonnin, Telecom Bretagne, FR
Authors:
Jean-Marie Bonnin and Frédéric Weis, Telecom Bretagne, FR
Abstract
The technologies necessary for the development of pervasive applications are now widely available and accessible for many uses: short/long-range and low energy communications, a broad variety of visible (smart objects) or invisible (sensors and actuators) objects, as well as the democratization of the Internet of Things (IoT). Large areas of our living spaces are now instrumented. The concept of Smart Spaces is about to emerge, based upon both massive and apposite interactions between individuals and their everyday working and living environments. The potential applications are boundless. However, many scenarios are often designed in an ad-hoc manner depending on the target area of application. Resources (sensors / actuators, connected objects etc.) are used in silos which prevents using them for implementing several pervasive computing scenarios. They can only be used in the environment they had especially been developed for (for example "classical" home automation tasks: comfort, entertainment, surveillance). They are difficult to adapt to increasingly complex situations, even though the environments in which they evolve are more open, or change over time (new sensors added, failures, mobility etc.) As fine decisions can be made close to the objects producing and acting on the data. Local data characterization and local processing de-emphasize the computing and storage resources of the cloud. Therefore, developing a comprehensive set of new interactions models between objects in the field could help pervasive application designers in the development phase with the side effect to ease the life cycle management, and make objects more useful and more durable.

18:00

8.1.3

DEPLOYING IOT FOR INSTRUMENTATION AND ANALYSIS OF MANUFACTURING SYSTEMS
Speaker:
Sujit Rokka Chhetri, UC Irvine, US
Author:
Mohammad Al Faruque, University of California Irvine, US
Abstract
This talk will present a methodology to collect physical information (e.g., energy flows in the form of acoustics, vibration, electro-magnetic, etc.) effectively and efficiently from a manufacturing system using IoT infrastructure. Through applying information-theoretic analysis, we will show how to create a digital twin of the manufacturing system that may be used for process control (i.e., better decision making at different time-scales) and security. We will focus on the plug and play capability provided by the IoT, which will allow us to create digital twin of legacy manufacturing systems as well. We will demonstrate our work with an application in additive manufacturing system (3D printers). We will also present how in our recent work we have demonstrated that we can breach the confidentiality of a 3D printer by reconstructing an original 3D model from the printer's acoustic emission analysis.

18:30

End of session