Internet of Things

Aims:

The IoT focuses on Internet of Things related original research results and mature research ready for industrial prototyping and technology transfer. This journal publishes papers on the latest advances, as well as review articles, on the various aspects of IoT. The IoT paradigm promises an internetworking environment where multiple enabled heterogeneous devices are connected in different ways with varying levels of intelligence and capabilities. Heterogeneity and security are most challenging in different Internet of Things applications, but more challenges are being tackled by researchers such as autonomous energy, easy interaction between different Internet of Things devices, big data optimized analysis and so on. Internet of Things is better defined nowadays and clear domains are identified in industrial verticals such as smart city, smart health, smart building, smart home where different connected objects are well known such as wearables, sensors, actuators, vehicles, drones, robots and so on. In the IoT domain, those connected devices carries sensors and actuators that are interconnected via the Internet mainly using Cloud or Fog architectures, while the high diversity of IoT applications, along with a various network protocols and access techniques, create a promising yet very challenging communication environment. The IoT domain by its variety of devices and interfaces offers different types of interactions such as as human-to-human, human-to machine, machine-to-machine ...etc. These interactions are supported by the harmonised cloud Internet of Things platforms that has enabled novel applications that promote the penetration of IoT-based solutions to the citizens and industry at large. Finally, note that Artificial Intelligence, Machine Learning, Blockchain or Augmented Reality combined with Internet of Things appears lately as a promising step to take more advantage of the power of Internet of Things applications and this is one of the hot topics in research latelly in Internet of Things. Such evolutions and developments create an ecosystem of interoperable and heterogeneous IoT platforms that caters for the user's goals, needs, and requirements in order to link the diverse physical devices that can enable multiple cross-domain applications but also create a new society impact with multiple services opportunities.

Scope:

IoT Communication technologies: Short range Vs long range, licenced Vs Unlicenced
IoT Architectures: users-centric, data-centric, service-centric architectures, Event processing.IoT Data Modeling: Semantic Data, Data ontologies...etc
Networks of Smart Objects: services, protocols and architectures
IoT Performance: Optimization of the communication in IoT, scalability of IoT deployment.
IoT Privacy and Security: Cryptography, Blockchain, Access control, cyber threats.
IoT Plateforms: Cloud-based, Gateway-based and Fog-based IoT solutions.
IoT Electronics: Embedded systems, Sensors, Actuators
IoT Network Virtualization: SDN and NFV technologies for IoT
IoT Verticals: Practical and innovative uses of IoT networks (Smart cities, Smart Mobility, Smart Home, Smart health, Smart Grid, etc).
IoT Management:IoT devices and resources, Supervision, Configuration, Orchestration, Coordination and Monitoring
IoT Networks: Large-scale networks deployment, Dynamic adaptation of IoT networks, Advances in wireless sensor networks.
of IoT-enabled devices
IoT for the Industry: Cyber–Physical Systems, SCADA Platforms, Industrial buses and wireless communication.
IoT Interoperability: Service discovery and composition, semantic data description, IoT standards
IoT Interaction: Augmented Reality and Virtual Reality in IoT, Social Internet of Things.
IoT Artificial Intelligence: Analytics, Big Data, Machine Learning, Self driving vehicle, Mining platforms and Prediction for the IoT
IoT-Enabling Technologies: Sensors, Radio frequency identification, low power and energy harvesting, sensor networks, robotics, machine-type communication
IoT Deploiement: Test-beds, infrastructures and industrial deployments.
IoT User experience: Design, Human Machine Interface, UX, Cognitive approach.
IoT Business aspects: IoT Business model, Economical surveys, understanding and decision making in IoT.