IOT-HSA-2021: Workshop on Internet of Things based Health Services and Applications
Mobile phones, smart watches, fitness trackers and a variety of Internet of Things (IoT) smart home devices constantly acquire data about our lives and our bodies. These data can be used to support healthcare and foster healthy and independent living, with potentially enormous benefits to our societies. Along with benefits, important challenges come in terms of quality and significance of the collected data, usability and long term acceptance, transparency, data protection and trustability. The aim of this workshop is to explore these fundamental questions with researchers and practitioners from academia and industry.
Deadline for submission: August 29, 2021
IoT4Emergency 2021: IoT for Emergency Management
IoT4Emergency aims to bring together academics and practitioners who use information and communication technologies to design emergency services. The Internet of Things (IoT) has changed our approach to safety systems by connecting sensors and providing real-time data to managers and endangered people in emergencies, such as fires, earthquakes, floods, hurricanes, and even overcrowding. Furthermore, the recent situation regarding COVID-19 presents an unprecedented and extended emergency impacting humans’ social and economic life. IoT4Emergency is a venue to gather researchers and practitioners who use information and communication technologies to address issues that happen before, during, and after an emergency.
Henry Muccini (University of L’Aquila, Italy), email@example.com
Julie Dugdale (University of Grenoble Alps, France), firstname.lastname@example.org
Mahyar T. Moghaddam (University of L’Aquila, Italy – INRIA Grenoble, France), email@example.com
Deadline for submission: August 23, 2021
Links to the website and submission system will follow soon.
DIoT 2021: International Workshop on Discovery on the Internet of Things
IoT is becoming the key-enabler in many domains to evolve and adapt to new challenges, such as Industry 4.0, Smart Cities or Smart Communities. With the adoption of IoT, the discovery of devices, infrastructures, or related services within IoT ecosystems has become a challenging task due to its many implications; from the perspective of data models, or ontologies, to the design of time-efficient algorithms. Due to its complexity IoT discovery has been addressed by different standardisation initiatives such as E3C, ETSI, IEFT, ITRF, OGC, and oneM2M.
The International Workshop on Discovery on the Internet of Things (DIoT) has two main goals. First, it intends to drive the discussion about current trends and future challenges of discovery on the Internet of Things. Second, it aims at supporting communication and collaboration with the goal of aligning the various efforts within the community and accelerating innovation and standardisation in the associated fields.
The DIoT is a half-day workshop that will accept regular and demo papers focusing on presenting novel tools, applications, algorithms, or data models extending existing ones for discovery. It will count with a round table of experts that will debate about well-known discovery issues and methodologies.
Andrea Cimmino (Universidad Politécnica de Madrid, Spain), firstname.lastname@example.org
Farshid Tavakolizadeh (Fraunhofer FIT, Sankt Augustin, Germany), email@example.com
Christiano Aguzzi (University of Bologna, Italy), firstname.lastname@example.org
Raúl García-Castro (Universidad Politécnica de Madrid, Spain), email@example.com
Deadline for submission: September 10, 2021
InterOSS 2021: 4th Workshop on Interoperability and Open-Source Solutions for the Internet of Things
The evolution of the Internet of Things has created a complex ecosystem populated by various Internet of Things (IoT) platforms that provide access to a broad range of things. These IoT platforms typically promote their specific interfaces and information models, and often adopt non-standard, sometimes fully proprietary, protocols to control a variety of things. This fragmentation and missing interoperability currently prevent the emergence of cooperative IoT ecosystems in which applications can be built to simply use things, or to enable things operated by different platforms to interact. The 4th Workshop on Interoperability and Open-Source Solutions for the Internet of Things focuses on addressing this challenge, bringing the community of industry players, stakeholders and open source communities. The main objective of this event is to exchange experiences and ideas with the IoT and Data communities as well as contribute to build new knowledge analyzing open issues and identify gaps on interoperability, architectural principles, marketplaces and standardization for future. It will bring the voice of industrial experts providing an environment where attendees (presential or remotely) have the opportunity to explore interoperability solutions stemming from research and innovation projects and showcase practical experiences on interoperable IoT solutions and promote open-source solutions.
Martin Serrano (National university of Ireland; Insight SFI Research Centre for Data Analytics, Ireland), firstname.lastname@example.org
Achille Zappa (National university of Ireland; Insight SFI Research Centre for Data Analytics, Ireland), email@example.com
Deadline for submission: TBD
Links to the website and submission system will follow soon.
Tutorial: Internet of Things: Concepts and System Design
This tutorial provides a concise overview of the underlying concepts, architecture, and design of IoT systems. It includes a succinct coverage and analysis of functions and roles of the key components – sensors, edge, fog, communications, cloud, data processing and storage with analytics ML and AI, security and management. It provides a balanced treatment at roughly equal level of depth for all covered topics, based on the presenter’s book “Internet of Things: Concepts and Systems Design” (Springer 2020).
The emphasis of the tutorial is on system analysis, design, and integration aspects of IoT systems. It does so by tracing the end-to-end flows of data and control, from the point of sensory information capture to its incremental processing at the edge and in the cloud in order to create insights and act in ways that improve long-term behaviors of their (IoT instrumented) targets in the real world.
An important aspect of the tutorial is to highlight the importance and nature of information modeling of IoT data and metadata in a manner that facilitates semantic interoperability, aggregation and processing of big-data, creation of portable applications, and the ability to (re)use the accumulated data – arguably the most valuable asset of an IoT system.
Dr. Milan Milenkovic, IoTsense LLC, Dublin, CA, USA, firstname.lastname@example.org