------------------------ Call for Papers --------------------------------------

Second International Workshop on Big Data and Cloud Computing for Future Sensor Networks (FSN)

August 15-18, 2016, Montreal, Canada

http://www.gutech.edu.om/future-sensor-networks-fsn-2016/
-----------------------------------------------------------------------------

Although Sensor Networks have several limitations in terms of memory, computation, energy, and communication,
they have to manage large volume of data that they collect from the surrounding environment. For the last few years,
researchers have been actively trying to optimize data collection, processing and transfer.

Nevertheless, the increasing requirements for real-time processing and storing of the collected data are rising up the need for
a powerful and scalable high-performance computing and massive storage infrastructure.

With the emergence of cloud computing and big data, significant amounts of computation and data have been offloaded from data
centres and personal devices while offering more scalability, flexibility, and economy. The integration of sensor networks with
cloud computing and big data looks thus very attractive for more performant sensor networks. This integration may raise many
research and practical challenges such as event processing and management, real time data processing, and large scale computing
infrastructure.

The aim of this workshop is to gather latest research breakthroughs in using cloud computing and big data paradigms to develop
better sensor networks. The workshop will gather leading researchers from academics and industry to present new ideas, original
research results and practical development experiences.

Authors are invited to submit original technical papers (theoretical or application) covering but not limited to the topics of
interest listed below:

- Computation and storage in Sensor Networks
- Data analysis and mining in Sensor Networks
- Distributed algorithms for data and computation placement in Sensor Networks
- Big data analytics in large sensor networks
- Big data mining and processing in sensor networks
- Efficient sensor data dissemination
- Mining big data collected from large-scale smartphone sensing deployments
- Secure and remote management of sensor networks
- Sensor data streaming via cloud computing system
- Sensor cloud systems for remote and real-time monitoring
- Architecture for sensor-cloud
- Architecture for big sensor data
- Unstructured and structured sensor data
- Algorithms for sensor cloud computing
- Distributed sensor data processing
- Models for sensor-cloud
- Big social sensor data
- Cloud computing for resilient wireless sensor networks
- Design and integration of sensor-cloud systems
- Sensor-Cloud Applications
- Future directions of big data/Cloud Computing in Sensor Networks development
-


Important Dates:

Submission Deadline: March 27, 2016
Author Notification: May 20, 2016
Camera Ready: June 14, 2016

Submission Instructions:

Authors are requested to submit papers reporting original research results. The page limit for papers should not exceed 6 pages.
Papers should be prepared using Elsevier author guidelines of Procedia.
Authors are requested to submit their papers electronically in PDF format.
The submission processes will be managed by easychair.org.

Program Co-Chairs
- Nafaâ Jabeur, German University of Technology, Sultanate of Oman (nafaa.jabeur@gutech.edu.om)
- Nabil Sahli German University of Technology, Sultanate of Oman (nabil.sahli@gutech.edu.om)