LPNET 2019: The 1st workshop on Low Power Wide Area Networks for Internet of Things Tsinghua University Beijing, China, February 25, 2019 |
Conference website | http://ewsn2019.thss.tsinghua.edu.cn/workshops/lpnet.html |
Submission link | https://easychair.org/conferences/?conf=lpnet2019 |
Abstract registration deadline | December 10, 2018 |
Submission deadline | December 10, 2018 |
The 1st workshop on Low Power Wide Area Networks for Internet of Things (LPNET)
In Conjunction with International Conference on Embedded Wireless Systems and Networks (EWSN 2019), Feb 2019, @Beijing
Low power wide area networks for Internet of Things (e.g., LoRa, NB-IoT) have attracted increasing research interest and efforts recently. Despite its rapid increasing, there are also many challenges and unsolved problems for this area towards large scale real applications. This workshop aims to bring researchers from both academia and industry together to explore the challenges and opportunities in design, development, implementation and deployment of low power networks for Internet of Things.
Topics of the Workshop
The workshop is intended to be a forum to share the experiences about smart city technologies and its applications based on crowd intelligence. The main topics of the workshop can be categorized as (but not limited to):
- Smart City Big Data Collection and Analysis
- Crowd Intelligence based Smart City Systems, Middleware and Framework
- Crowd Intelligence based Smart City Application
- Security, Trust, and Privacy Issues in Crowd Intelligence
- Incentive Mechanism for Crowd Intelligence based Smart City Application
- Missing Data Inference in Crowd Intelligence based Smart City Application
- Optimizing Crowd Intelligence based Systems for Smart Cities
- Dec 10th, 2018 (PST): Submission Deadline
- Jan 10th, 2019 (PST): Acceptance Notification
- Feb 3rd, 2019 (PST): Camera-ready Due
- February 25th, 2019: Workshop Day
Organizers
- Xinbing Wang, Shanghai Jiaotong University, China
- Xiaojiang Chen, Northwest University, China
- Jiliang Wang, Tsinghua University, China
- Abusayeed Saifullah, Wayne State University, USA
Submission
Submitted papers should adhere to the EWSN submission formatting requirements and should not exceed 6 pages, including figures, tables, and references. Selected papers will be recommended to Journal of Tsinghua University (Science and Technology) (SCI)
PC Members
- Wei Dong, Zhejiang University
- Rui Tan, Nanyang Technological University
- Zhichao Cao, Tsinghua University
- Chenren Xu, Peking University
- Abusayeed Saifullah, Wayne State University
- Shibo He, Zhejiang University
- Xiaojiang Chen, Northwest University
- Jiliang Wang, Tsinghua University
- Yuanqing Zheng, The Hong Kong Polytechnic University
- Ambuj Varshney, Uppsala University