Crowdsourced networks, services, transport: analytical foundations of sustainable sharing


Τhe project focused on applications and services that lie in the broader area of sharing economy. The future of sharing economy and its ultimate role in the world economic activities will depend on many factors, including the legal and regulation policies applied to them. In any case, however, the related service platforms need to cope with fundamental issues regarding the allocation and sharing of common resources, the provision of incentives, and their business models. CRESCENDO responded to this need by drawing analysis tools from the areas of network economics, queuing theory and (stochastic) optimization, but also from machine learning and numerical analysis. It is structured along three discrete thematic areas: shared network connectivity, participatory sensing, and crowdsourced transport. Common to all three thematic areas is the dimension of crowdsourcing and resource sharing, as well as the sustainability challenges that relate to them.

From a scientific point of view, the project contributions were in the areas of optimization (formulation of novel optimization problems under radically different assumptions about the decision-making process of human users), algorithms (design/analysis of algorithms for original theoretic problem instances), network economics and game theory. At socioeconomic level, the project research aimed at better understanding, supporting, and enhancing activities that (a) have generated reasonable expectations for economic development and new jobs; and (b) are approached as the means towards higher market pluralism (market democratization), offering alternative solutions in otherwise mono/oligopolistic markets and reducing transaction costs that inflate, often disproportionately, the overall cost of producing and distributing goods.

The project involved synergies with research groups in the University of Venice, University of Florence, and the University of Bournemouth and engaged one postdoctoral researcher and one PhD candidate in its activities. Its duration was 42 months.

Fact sheet

Duration 27 Sep. 2018 - 20 Mar. 2022
Principal Investigator Merkouris Karaliopoulos
Postdoc researchers Eleni Bakali (Sep. 2019 - Jul. 2020)
Research Associates Orestis Mastakas (Jan 2021-Mar 2022)
George Cheirbos (Oct 2020-Mar 2022)
Collaborators Iordanis Koutsopoulos
Wei Koong Chai
Funding source Hellenic Foundation for Research and Innnovation (HFRI)


Conference publications

  • M. Karaliopoulos and I. Koutsopoulos, "Empowering Synergies of Communities with Service Providers for the Bottom-up Deployment of Network Infrastructures," 18th ACM International Symposium on QoS and Security for Wireless and Mobile Networks (Q2SWinet '22), pp. 105-114, Montreal, Canada (virtual), October 2022 [pdf] [slides]
  • G. Cheirmpos, M. Karaliopoulos, I. Koutsopoulos, "Optimizing shared data plans for mobile data access," International Teletraffic Congress (ITC) '33, September 2021[pdf] [slides]
  • M. Karaliopoulos, I. Koutsopoulos, "Collective subscriptions: a novel funding tool for crowdsourced network infrastructures," IEEE WoWMoM 2020, September 2020 [pdf]
  • M. Karaliopoulos, I. Koutsopoulos, and L. Spiliopoulos, "Optimal User Choice Engineering in Mobile Crowdsensing with Bounded Rational Users," IEEE Conference on Computer Communications (INFOCOM), April-May 2019, Paris, France [pdf][slides]
  • I. Koutsopoulos, A. Anastopoulou, and M. Karaliopoulos, "Economics of Investment and Use of Shared Network Infrastructures," 1st Int'l IEEE Workshop on the Economics of Fog, Edge and Cloud Computing (ECOFEC 2019), in conjunction with IEEE INFOCOM 2019, April-May 2019, Paris, France [pdf] (best paper award)
  • M. Karaliopoulos and I. Koutsopoulos, "Infrastructure and service provider games in crowdsourced networks," ACM Mobihoc 2019, Catania, Italy, July 2019 (poster paper) [pdf][poster]

  • Journal publications

  • M. Karaliopoulos. G. Cheirbos, I. Koutsopoulos, "Sharing data plans for cellular mobile data access," to appear in IEEE Transactions on Network and Service Management, 2022

  • M. Karaliopoulos, O. Mastakas, W.K. Chai, "Matching supply and demand in online parking reservation platforms," to appear in IEEE Transactions on Intelligent Transportation Systems, 2022

  • M. Karaliopoulos and E. Bakali, "Optimizing Mobile Crowdsensing Platforms for Boundedly Rational Users," in IEEE Transactions on Mobile Computing, vol. 21, no. 4, pp. 1305-1318, 1 April 2022, doi: 10.1109/TMC.2020.302375 link

  • L. Maccari, G. Gemmi, M. Karaliopoulos, L. Navarro, R. Lo Cigno, "Towards Scalable Community Networks Topologies," Elsevier Ad Hoc Networks, 2019, vol. 94, November 2019 link

  • Contact

    Merkouris Karaliopoulos
    Office 209, AUEB bldg @ Troias 2 & Spetson
    Tel: (+30) 210 8203506

    This project was funded by the Hellenic Foundation for Research and Innovation (HFRI) and the General Secretariat for Research and Innovation (GSRI) in the context of the 1st call for Postdoctoral Researchers, under grant agreement No 892