Track Co-Chairs:
Muhammad Shahzad, mshahza@ncsu.edu (North Carolina State University - USA)
Nathalie Mitton, nathalie.mitton@inria.fr (INRIA - France)
Description:
The Internet of Things (IoT) is considered as a key player in the network of the future, which can be used to support numerous smart-world systems. With new advancements in computing technology leading to more processing power, storage, and communication capacity with very small scale components, connecting the corresponding devices in an efficient manner using the IoT architecture becomes a very important part of networking research. Numerous efforts are focusing on systems and protocols to build a powerful IoT. However, partly due to the large variations on the "things" in the Internet, IoT is still in an initial state. IoT is generally characterized by limited energy, computation and communication capacity, the presence of sensors in tiny objects, and the associated challenges, e.g., concerning security, energy efficiency, data caching, storage, and sharing. The emerging environment is further becoming more complex and challenging, due to the heterogeneity of the involved devices, resources and application domain, giving rise to several interesting aspects in the era of interoperability and flexibility. To address these, both theoretical and experimental approaches, at network and system levels are invaluable. In this track, we invite submissions of research works with novel contributions of either type.
- Routing and control protocols for IoT
- Scalability and robustness for IoT
- Programming abstractions and middleware for IoT
- Cloud back-ends and resource management for IoT applications
- Edge and Fog computing in IoT
- Distributed storage, data fusion, and data sharing in IoT
- Sensor data management, mining and analytics in IoT
- IoT for smart grid, smart transportation, smart cities, and other smart-world applications
- Formal foundations and theories for IoT
- Green IoT: sustainable design and technologies
- Analytic foundations and theory of IoT
- Machine learning foundation and models for IoT and applications
- Interoperability Issues
- IoT vertical industries and applications
- Energy-aware IoT hardware
- Energy-efficient IoT networking and data collection
- Power consumption and optimization in IoT
- Security and trustworthiness in IoT
- Secure operating environments for IoT
- Attack and defense strategies for IoT
- Luis Costa, Universidade Federal do Rio de Janeiro
- Haipeng Dai, Nanjing University
- Xinwen Fu, University of Central Florida
- Antoine Gallais, Université Polytechnique Hauts-de-France - LAMIH
- Jun Huang, Massachusetts Institute of Technology
- Vasileios Karyotis, Ionian University, Department of Informatics
- Daehee Kim, California State University - Stanislaus
- Zhen Ling, Southeast University
- Jia Liu, Nanjing University
- Karen Miranda, Universidad Autónoma Metropolitana
- Nathalie Mitton, INRIA
- Chen Qian, University of California Santa Cruz
- Kurt Rohloff, NJIT
- Muhammad Shahzad, North Carolina State University
- Longfei Shangguan, Microsoft
- Shouqian Shi, University of California, Santa Cruz
- Fabrice Theoleyre, CNRS
- Jie Yang, FSU
- Sherali Zeadally, University of Kentucky, USA