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Internet of Things

Editorial Board
Editors in Chief:
  • Der-Jiunn Deng (NCUE)
  • Shancang Li (UWE Bristol)
Area Editors:
  • Xavier Vilajosana (UOC)
  • Thomas Watteyne (Inria)
  • Antonella Molinaro (University Mediterranea of Reggio Calabria)
  • Carla Fabiana Chiasserini (Politecnico di Torino)
  • Joachim Sachs (Ericsson Research)
  • Yu-Liang Liu (Overseas Chinese University)
  • Chien-Liang Chen (Overseas Chinese University, Taiwan.)
  • Ahmet Çağdaş Seçkin (Adnan Menderes University)
  • Ripon Patgiri (National Institute of Technology Silchar)
  • Shanshan zhao (University of the West of England)
  • Kamran Ali Memon ( State Key Laboratory of Information Photonics and Optical Communications (IPOC), Beijing University of Posts and telecommunications, China)+ BioKAMRAN ALI MEMON, PhD, is working at State Key Laboratory of Information Photonics and Optical Communications (IPOC), Beijing University of Posts and telecommunications, China since 2016. His research interests include optical and Wireless communications, PONs, Radio over fiber and WSNs. He has worked as a Lecturer/Assistant Professor in Quaid e Awam UEST Nawabshah Pakistan (QUEST) Pakistan for 07 years
  • qindong sun (Xi'an University of Technology)
Aims & Scope

The aim of the EAI Endorsed Transactions on Internet of Things (TIoT) is to provide an ideal environment for crystallising original results and achievements in the Internet of Things domain. TIoT scope encompasses all areas related to the technologies and application fields related to IoT. In particular, original and outstanding results related to the research, development and implementation aspects of any technological, economical and sociological field that bears a significant relationship and impact on IoT.

While pursuing a rigorous scientific approach, TIoT will provide a voice to different communities, and will foster synergies between different fields. Computer Science disciplines closely related to IoT, such as Modelling, Networking, Embedded Devices and Security, will integrate novel results with Governance, Economical and Social studies in order to provide a clear and unifying vision for the upcoming IoT.

We invite submissions that present significant results in theoretical and experimental analysis and evaluation of technologies with specific areas including, but not limited to, networking for constrained devices, business models and applications, modelling, architectures and system design for smart objects, cooperative data processing for IoT, social impact of novel IoT technologies, security for embedded devices, semantic and behavioural aspects of interconnected devices.

The scope of the Transactions encompasses latest advances in the growing field of the Internet of Things (IoT), with the topics of interest being:

  • Technologies & Protocols: sensors, energy harvesters, RFID, machine-type communications, medium access protocols, radio resource management, industrial control, real-time systems, embedded software design.

  • Architectures & Services: cloud-based platforms, big data processing engines, security, privacy, device management, CPS/SCADA platforms, innovative/open service architectures, data mining, service middleware, semantic service management.

  • Applications & Use Cases: smart cities, smart buildings, smart traffic, industrial internet of things, smart metering, smart agriculture, etc.

  • Standardisation Landscape: IEEE, IETF, 3GPP, ETSI, and various alliances.

  • Experimentation & Prototypes: real-world deployments at scale, industrial deployments, experiences with prototypes (including what didn’t work), etc.

Actuators, Internet of things, Sensors, Smart devices, Machine-to-Machine, Machine-Type Communications, Energy Harvesting, Big Data, Internet of Everything, Demonstration, Experimentation, Proof-of-concept, Prototypes and demonstrators, Core Network, Software Defined Networks, Network virtualization, Radio Access, Radio Resource Management, Medium Access Control, Embedded systems, Trust, Security and Privacy, Blockchain, Zero trust, Computational Intelligence