Dr. Ahcène Bounceur is an Associate Professor in Computer Science at the University of Western Brittany (UBO) and CNRS Lab-STICC laboratory. He received his HDR degree (Habilitation à Diriger des Recherches) from the University of Brest (France) in 2014, his PhD degree in Micro and Nano Electronics from the TIMA laboratory, Polytechnical National Institute of Grenoble (France) in 2007, his Master’s degree in Operations Research and Optimization from the engineering school ENSIMAG, Grenoble (France) in 2003, and his Engineering degree in Operations Research from the University of Bejaia (Algeria) in 2002. He is the coordinator of the ANR (French Research Agency) project PERSETPEUR: 3D Virtual Platform for Smart-Cities and IoT Wireless Sensor Network Simulation. He is a partner of the ARS (Regional Health Agency) project Suidia: A smartphone based telemedicine platform for gestational diabetes, the most advanced French application in this domain. He published about 100 scientific papers and his research interests include: Tools for physical and parallel simulation of Wireless Sensor Networks, Sampling methods for data mining, Development of CAT (Computer Aided Test) tools and statistical models for AMS and RF circuit testing..
CupCarbon: A New Platform for Designing ans Simulating Smart-City & IoT Wireless Sensor Networks (SCI-WSN)
The proliferation of radio communication systems and the significant advances in enabling device technologies are paving the way towards the Internet-of-Things (IoT) and opening new perspectives for Smart City services and applications. Such evolution becomes essential in order to enhance quality of urban services, to reduce costs, and to engage citizens more effectively. In this context, novel simulation tools are required to prepare the future deployments of large-scale IoT infrastructure for Smart cities in the best conditions in terms of reliability, energy consumption, and cost.
This keynote presents the CupCarbon framework: a platform for designing smart-city & IoT wireless sensor networks (SCI-WSN). CupCarbon is developed as a part of the French ANR project PERSEPTEUR to meet the following three requirements:
(1) to be very accurate, to take into account all details related to the deployment environment and to quantify the simulation uncertainty,
(2) to allow the representation of mobile nodes and dynamic environments,
(3) to allow the study of the behaviour of a whole network (or multiple networks) containing a large number of nodes in realistic environments (city, mountain, etc.).