The Swisscom Innovation Award 2015 is a competition targeting at the best degree dissertations in the field of information and communication technologies. The competition is organized and supported by Swisscom, the Swiss Informatics Society and the ICT Switzerland. The key criteria of the competition are:

  • Focus; directly tied to a theme in the world of ICT,
  • Unique contribution; highly creative and innovative content,
  • Functionality; the ideas presented are extremely viable,
  • Business relevance; real-world insights and outcomes.

Blaise Carron, student of the University of Geneva did his bachelor thesis at the TCS Lab under the supervision of Dr. Orestis Evangelatos and Prof. Jose Roim. The title of his thesis is: “Crowd Enabled Framework for Smart Environment” and it was among the three winners in the Swisscom Innovation Award. The aim of the thesis is to augment a fixed sensing infrastructure of a smart environment with mobile crowdsensing resources and to make them interoperable to the system’s backend services.

This work lies behind the Objectives 1 and 3 of the University of Geneva of the SwissSenseSynergy project in which we expand our existing infrastructure and testbeds with mobile sensors and we augment it with mobile crowdsensing. In particular, the outcomes of this work are directly related to the Task 3 (Mobile CrowdSourcing) and Task 5 (Smart Environments, IPv6 and testbed expansion) of UNIGE. Via the implemented mobile android application a user can augment the information that the smart environment collects by providing sensing data from her smartphone. Once the user registers herself to the backend system she is able also to interact with the actuators that are deployed inside the smart environment such as turn on the lamps or put down the curtains. The application is agile and it could report the information to any location and IP in which a Syndesi 2.0 server is running. The data reported from the smart phones sensors are harmonically interconnected with the data from the fixed resources. A user or a Web Service via a Syndesi 2.0 Web API can access all the crowd and fixed reported data.