Call for Papers
Wide scale pervasive sensing in the Internet of Things (IoT) can only be envisioned in light of two key challenges: heterogeneity and scalability. One of the key objectives is to have flexible digitalization architectures that enables fast and inexpensive sensor integration with everyday objects. Then, protocols for discovering the services and features of this massive sensing population is required. This can only be realized if semantic architectures are infused into the fabric of the IoT. These architectures can then leverage contextaware frameworks for intelligent applications and possibly enable SensingasaService as a new cloud service model. Thus, we invite original and innovative contributions that address object digitalization, public sensing architectures, fog computing, and service discovery in the IoT. In addition, we strongly encourage research in semantic search techniques for the IoT, including topics such as rule-based association machine learning techniques in ontological structures. We are also highly interested in security and privacy frameworks that ensure trust and usability in the IoT.
Topics of Interest
Specific topics include, but are not limited to:
- Wireless sensor/actuator networks
- Object digitalization
- Public/Crowd sensing
- Vehicular sensing/Intelligent Transportation Systems
- Vehicular clouds
- IoT heterogeneity/interoperability issues
- Service and resource discovery in the IoT
- Pervasive/ubiquitous computing algorithms and architectures
- Semantic search techniques for the IoT
- Context-aware frameworks for the IoT
- Sensing-as-a-Service as a cloud service model
- Fog computing architectures
- Security and privacy frameworks for the IoT
- Big data analysis solutions for the IoT
Proceedings of the workshop will be published together with those of IEEE LCN, and will be available in digital format from the IEEE Xplore Digital Library.
For further information please refer to the corresponding pages on:
Important dates
Submission instructions
Committee members