Laboratory for Advanced Research into Telecommunication Systems
Laboratory for Advanced Research into Telecommunication Systems
Università degli Studi Mediterranea
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ARTS Research

Project Details: STEM-Net: "STEM" devices for self-organizing wireless Networks


Project: STEM-Net: "STEM" devices for self-organizing wireless Networks
Main Coordinator: Emanuele Viterbo
Laboratory Unit Coordinator: Giuseppe Ruggeri
Support: Prin 2009
Main Research Objectives: In the last years, the research world focused on networks constituted by elements able to: self-configure, self-adjust and
self-organize. The concept of "self-organization" is deeply interesting, because it ties together different disciplines: network management, artificial intelligence,
robotics, biology, control theory and game theory. For what it concerns the telecommunications field, the first works on self-organizing networks regarded sensor
networks, but the growing number of workshops, conferences and journals special issue on this topic shows how this concept is involving all the kinds of multi-hop
networks. In the project STEM-Net the self-organization is managed at the level of a single wireless device, which is called “stem unit” because of its resemblance
with its biological analogous. The “stemness” concept is analyzed and investigated through 4 main research directions: protocol reconfiguration, multi-homing,
learning, cooperation/coordination . By considering a node as a stem unit we want to give the idea of a device with very little hardware, where mostly everything is
implemented in the software. The actualization of a stem unit would include the implementation of a small set of functionalities, which can be extended by the
knowledge of the task, the situation and the context where the node is operating, aside from the interactions with other units. This unit's reconfiguration results in an
extreme flexibility of the whole network segment, and it turns the nodes heterogeneity from a limitation to a richness. However, it needs to be studied, analyzed,
modeled and conveniently managed, in order not to worsen the system complexity.
Involved People: Marica Amadeo"; "yuri Paratore; Giuseppe Ruggeri.
Partners: Università di Bologna, Università Della Calabria
Starting date: 2011-10-17
Duration (months): 24
Involved Research Areas: ING-INF/03.

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