Mobirise

INTERNET OF THINGS (IoT)

OVERVIEW OF TRACK

IoT has experienced significant growth in the number of deployments, in the resource investment from both industry and governments, and in attention from academics in almost every discipline. The IoT track seeks contributions on how to nurture, cultivate, and accelerate the adoption of IoT technologies and applications for the benefit of society. Theoretical and empirical papers employing quantitative, qualitative, and/or critical methods are welcomed.

INDICATIVE LIST OF TOPICS

The following topics are not intended to be exhaustive but are of interest for the IoT track. Rather it is intended to stimulate thinking about IoT from various levels of analysis and thoeritical perspectives.

IoT Enabling Technologies


  • 5G Networks and IoT
  • Adaptive Systems and Models at Runtime
  • Artificial Intelligence and IoT
  • Design Space Exploration Techniques for IoT Devices and Systems
  • Distributed Storage, Data Fusion
  • Edge Computing, Fog Computing and IoT
  • Heterogeneous Networks, Web of Things, Web of Everything
  • Identity Management and Object Recognition
  • Industrial IoT and Factory of Things and Internet of Things
  • Internet of Nano Things
  • IoT and Personal Data Protection
  • IoT Interoperability and Multi-Platform Integration
  • IoT Large Scale Pilots and Portability
  • IoT Protocols and Standards (IPv6, 6LoWPAN, RPL, 6TiSCH, WoT, oneM2M, etc.)
  • IoT Security and Trust
  • Localization Technologies
  • Machine to Machine (M2M)/Devices-to-Devices communications and IoT
  • Mobility, Localization and Management Aspects
  • Named Data Networking for IoT
  • Resource Management, Access Control
  • Routing and Control Protocols
  • Sensor and Actuator Networks
  • Sensors Data Management, IoT Mining and Analytics
  • Software Defined Network (SDN), Network Function Virtualization (NFV) and IoT
  • Ultra-low power IoT Technologies and Embedded Systems Architectures
  • Wearables, Body Sensor Networks, Smart Portable Devices

IoT Applications, Services and Real Implementations

  • Assessment of facilitators and inhibitors of IoT adoption
  • Automotive, Intelligent Transport
  • Big data and IoT Data Analytics
  • Business Value of IoT
  • Cognitive and Reasoning about Things and Smart Objects
  • Collaborative Applications and Systems
  • Consumer Electronics, Assisted Living, Rural Services and Production
  • Crowd-sensing, human centric sensing
  • Cyber-physical systems, Context Awareness, Situation Awareness, Ambient Intelligence
  • Design principals and best practices for IoT application development
  • Determinants of the IoT adoption at the firm and inter-firms levels
  • e-Health, Assisted Living and e-Wellness
  • Horizontal application development for IoT
  • Industrial IoT Service Creation and Management Aspects
  • Internet Applications Naming and Identifiers
  • IoT and AI techniques
  • IoT-based Supply Chains
  • Mobile Cloud Computing (MCC) and IoT
  • Semantic Technologies, Collective Intelligence
  • Service Experiences and Analysis
  • Smart Agriculture and Water Management
  • Smart Cities, Smart Public Places, and Smart Environments
  • Smart factories and Industry 4.0
  • Smart Grid, Energy Management
  • Smart Home, and IoT-based Building Automation
  • Wearables

End-user and Human Centric IoT, including IoT Multimedia, Societal Impacts and Sustainable Development

  • Green IoT: Sustainable Design and Technologies
  • Human Role in the IoT, Social Aspects and Services
  • IoT and Arts
  • IoT and Sustainable Development, including the 17 UN Sustainable Development Goals (https://sustainabledevelopment.un.org)
  • Metrics, Measurements, and Evaluation of IoT Sustainability and Roi
  • New Human-Device Interactions for IoT, Do-It-Yourself
  • Social Models and Networks
  • Urban Dynamics and Crowdsourcing services
  • Value Chain Analysis and Evolution Aspects

IoT Security, Privacy and Data Protection

  • Artificial Intelligence based security and data protection
  • Big Data and Information Integrity in IoT
  • Communication Security in IoT
  • Cross-layer Attacks in IoT
  • Cryptography, Key Management, Authentication and Authorization for IoT
  • Identification and Authentication Issues
  • Intrusion Detection in IoT
  • IoT and blockchain
  • IoT Forensic Science
  • IoT Privacy and Security Tests, Certification, and Labelling
  • IoT Privacy, data protection and Security Concerns
  • Physical/MAC/Network Attacks in Internet of Things
  • Privacy based Channel Access in IoT
  • Security and Data protection risk analysis and mitigation
  • Security Standards in IoT
  • Security with QoS Optimization in IoT
  • Wireless Sensor Network for IoT Security