Researching crowdsourcing to extend IoT testbed infrastructure for
multidisciplinary experiments, with more end-user interactions, flexibility, scalability, cost efficiency and societal added value
FP7 ICT Project ICT-610477
Project web site -
Start-End Dates 01/10/2013- 31/10/2016
  • Mandat International Alias Fondation Pour La Cooperation Internationale - Switzerland (MI)
  • Drustvo Za Konsalting, Razvoj I Implementaciju Informacionih I Komunikacionih Tehnologija Dunavnet Doo - Serbia  (DNET)
  • Computer Technology Institute & Press Diophantus - Greece (CTI)
  • Universite De Geneve - Switzerland (UNIVERSITE DE GENEVE)
  • Alexandra Instituttet A/S - Denmark (ALEXANDRA)
  • Lulea Tekniska Universitet - Sweden(LTU)
  • University Of Southampton- United Kingdom (SOUTHAMPTON)
  • University Of Surrey - United Kingdom (UNIVERSITY OF SURREY)

IoT Lab is a research project exploring the potential of crowdsourcing to extend IoT testbed infrastructure for multidisciplinary experiments with more end-user interactions. It will research and develop:
1. Crowdsourcing mechanisms and tools enabling testbeds to use third parties resources (such as mobile phones), and to interact with distributed users (the crowd). The crowdsourcing enablers will address issues such as privacy by design, identity management, security, reputation mechanisms, and data ownership.
2. Virtualization of crowdsourcing and testbed components by using a meta-layer with an open interface, facilitating the integration and interaction with heterogeneous components. It should ease data integration and reduce the cost of deployment in real environment.
3. Ubiquitous Interconnection and Cloudification of the testbeds resources. It will research the potential of IPv6 and network virtualization to interconnect heterogeneous and distributed resources through a Virtual IoT Network and will integrate them into the Cloud to provide an on-line platform of crowdsourcing Testbed as a Service (TBaaS) available to the research community.
4. End-user and societal value creation by analyzing the potential end-users and crowdsourcing participants to propose an optimized model for end-user adoption and societal value creation.
5. “Crowdsourcing-driven research” as a new model in which the research can be initiated, guided and assessed by the crowd. It will compare it to other models.
6. Economic dimension of crowdsourcing testbed, by analyzing the potential markets and business models able to monetize the provided resources with adequate incentives, in order to optimize the exploitation, costs, profitability and economic sustainability of such testbeds. It will also develop tools for future experiments.
7. Performing multidisciplinary experiments, including end-user driven experiments through crowdsourcing, to assess the added value of such approach.



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