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WCI 2017 - Workshop on Wild and Crazy Ideas on the interplay between IoT and Big Data
Date2017-03-29 - 2017-04-01
Deadline2016-09-19
VenueHammamet, Tunisia 
Keywords
Websitehttp://www.comsnets.org
Topics/Call fo Papers
The inter-working of IoT and Big Data is set to transform and disrupt many areas of business and everyday life. WACI will bring together researchers and practitioners to present their latest achievements and innovations in the area of IoT and Big Data.
We welcome submissions that define challenges, report experience, or discuss progress toward design and solutions that integrate embedded, mobile, and cloud resources in the context of physical spaces, machines, and other interconnected Things. Contributions describing techniques applied to real-world problems and interdisciplinary research involving novel networking architectures, system designs and applications of wearable devices, sensor networks and machine learning techniques are especially encouraged. We specifically focus on high impact fields such as automation and manufacturing, healthcare, retail and transportation.
Relevant topics include but are not limited to:
Applications, case studies and deployments of IoT and Big Data systems
Novel system, networking, service architectures for specific IoT verticals
Trust, Security, Privacy, and Authentication in IoT
Dependability, adaptation, intermittency, and assembly in IoT
Designing and deploying IoT systems for healthcare, retail, manufacturing, transportation and security
Deployments and evaluation of sensor networks in large-scale industrial settings
Experiences in managing wearable devices, smart-home systems and mobile sensor networks
Novel system designs, deployments and applications of aerial vehicles
Last-mile communication challenges and novel networking protocols
Use of low power wireless technologies in IoT devices and applications
System designs to balance network delay, network throughput, and device energy trade-offs
Challenges and solutions in IoT data and stream processing at the edge and in the cloud
Design and evaluation of machine learning models on IoT data
High dimensional big data (images, videos) analysis using machine/deep learning
We welcome submissions that define challenges, report experience, or discuss progress toward design and solutions that integrate embedded, mobile, and cloud resources in the context of physical spaces, machines, and other interconnected Things. Contributions describing techniques applied to real-world problems and interdisciplinary research involving novel networking architectures, system designs and applications of wearable devices, sensor networks and machine learning techniques are especially encouraged. We specifically focus on high impact fields such as automation and manufacturing, healthcare, retail and transportation.
Relevant topics include but are not limited to:
Applications, case studies and deployments of IoT and Big Data systems
Novel system, networking, service architectures for specific IoT verticals
Trust, Security, Privacy, and Authentication in IoT
Dependability, adaptation, intermittency, and assembly in IoT
Designing and deploying IoT systems for healthcare, retail, manufacturing, transportation and security
Deployments and evaluation of sensor networks in large-scale industrial settings
Experiences in managing wearable devices, smart-home systems and mobile sensor networks
Novel system designs, deployments and applications of aerial vehicles
Last-mile communication challenges and novel networking protocols
Use of low power wireless technologies in IoT devices and applications
System designs to balance network delay, network throughput, and device energy trade-offs
Challenges and solutions in IoT data and stream processing at the edge and in the cloud
Design and evaluation of machine learning models on IoT data
High dimensional big data (images, videos) analysis using machine/deep learning
Other CFPs
Last modified: 2016-09-25 14:06:08