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IWSN 2018 : Intelligent Wireless Sensor Networks for Monitoring, Diagnosis and Control

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Link: http://codit2018.com/index.php/special-sessions
 
When Apr 10, 2018 - Apr 13, 2018
Where Thessaloniki, Greece
Submission Deadline Jan 7, 2018
Notification Due Feb 4, 2018
Final Version Due Feb 22, 2018
Categories    wireless sensor networks   monitoring   monitoring   control
 

Call For Papers

Proceedings

Registered and Presented papers will be submitted for inclusion into IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.

Proceedings of Past Editions

Proceedings of all past editions of CoDIT are published through IEEE Xplore and indexed in:

DBLP, Conference Proceedings Citation Index | Thomson Reuters, SCOPUS, Ei Compendex and IEEE.
____________________________________________

Session Co-Chairs :
Prof. Dan Popescu, Politehnica University of Bucharest, Romania
As.Prof. Loretta Ichim, Politehnica University of Bucharest, Romania
As.Prof. Grigore Stamatescu, Politehnica University of Bucharest, Romania

Session description
This special session deals with deals with the different problems of intelligent wireless sensor networks (WSN) used for monitoring and distributed control. The applications of WSN in such domains like: environment, industry, medicine, agriculture, transportation and so on, needs interdisciplinary knowledge and effectively solve many complex problems which are encountered. Today WSN and the component sensors are endowed with intelligence and therefore the modern WSN is based on cooperation, integration, data fusion, efficient communication, energy saving, diagnosis and possible use of IoT and cloud computing.
The goal is to bring together researchers, engineering and users in different domains which are engaged in resolving problems of distributed monitoring, diagnosis and control with the aid of modern WSN. We invite you to present and discuss advances in the research and development of intelligent sensor networks for monitoring, diagnosis and control.
The topics of interest include, but are not limited to:
• Collaborative sensor networks;
• Integrating WSN in IoT and cloud computing;
• Data fusion in WSN;
• Energy harvesting in WSN;
• Intelligent WSN;
• Cognitive radio WSN;
• Energy saving in WSN;
• Hybrid aerial and ground WSN;
• Data processing in WSN based on consensus;
• WSN and distributed control;
• Large scale WSN;
• Fault diagnosis in WSN;
• Applications for monitoring of environmental parameters.


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