The paradigm of the Internet of Things has become a core element of the Internet. Low-cost sensing and actuation is available to everyone. It allows seamless information exchange and networked interactions of physical and digital objects. Thanks to the wide availability of smartphones, not only companies but also consumers are part of this networked world. This interconnectivity together with large-scale data processing, advanced machine learning, robotics and new fabrication techniques steadily brings innovation and business models of the digital space into the physical world. All of this indicates that we are at the brink of another industrial revolution.

Backed by the strong support from industry and leading academic institutions, the International Conference on Internet of Things (IoT) has become the premier gathering place where visionary, ground-breaking research meets leading industry experts in the field of IoT.

IoT2016 is seeking for original, high impact research papers on all topics related to the development and social adoption of the Internet of Things. Papers are peer-reviewed and selected based on technical novelty, integrity of the analysis and social impacts and practical relevance. Recommended topics of submission are as follows, but not limited to.

Topics
- Physical world event processing and understanding: Novel data collection, deep learning, reality mining, and prediction methods based on physical world observations. This might include real-time decision making, event processing, and extracting information from large datasets.

- IoT Interactions: Novel methods and techniques for seamless human-to-object and object-to-object interactions. This can include Augmented Reality and Virtual Reality interactions.

- Advanced manufacturing and logistics with IoT: Evaluation of challenges of real world deployments of Industrie 4.0, Industrial Internet and GS1 system implementations. Including planned deployments, investigations of consumer aspects of 3D printing technology and IoT.

- Internet of Things architecture: Novel information architecture design on field device, edge device and servers in cloud, investigation of technologies supporting transitioning functional and processing allocation across system entities.

- Advanced data capturing and networking technology: Novel and advanced object identification, access and networking technology, localization, image recognition, 3D scanning methods to facilitate capturing physical events and reality.

- Interoperability of IoT systems: Service and device discovery, synchronization of distributed directory systems, and semantic data description frameworks.

- Data sharing and acceptance of IoT Systems: Data security, authentication and authorization. Privacy protection, data sharing technologies (incl. blockchain technology), tampering protection and detection in IoT systems.