RTD
RTD: Real-Time Delivery for Sensor Networks in Unpredictable Environments
| Coordinatore | ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS - RESEARCH CENTER
Organization address
address: KEFALLINIAS STREET 46 contact info |
| Nazionalità Coordinatore | Greece [EL] |
| Totale costo | 100˙000 € |
| EC contributo | 100˙000 € |
| Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | FP7-PEOPLE-IRG-2008 |
| Funding Scheme | MC-IRG |
| Anno di inizio | 2008 |
| Periodo (anno-mese-giorno) | 2008-09-01 - 2012-08-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS - RESEARCH CENTER
Organization address
address: KEFALLINIAS STREET 46 contact info |
EL (ATHENS) | coordinator | 0.00 |
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Obiettivo del progetto (Objective)
'The objective of this project is to develop a framework to provide reliable, real-time delivery of data and events in distributed event-based sensor systems. Several fundamental trends will shape future computing systems. The integration of sensors in networks of embedded systems will revolutionize future networked real-time and embedded computing systems. A growing number of applications will require timely, correct and reliable communication in highly dynamic environments. Examples include medical systems, transportation systems, surveillance systems, environmental and habitat monitoring. The long-term vision of the project is to develop reliable and adaptable, networked real-time computational systems, integrated with physical processes. The realization of the vision presents numerous unsolved and exciting problems to the software research community, including timeliness, reliability, security, privacy and adaptability. In particular, the proposed research will: (i) develop a methodology for modeling the aggregate behavior of the system and achieving time predictability, even in the presence of mobility, through synergistic congestion control, distributed real-time scheduling, and traffic regulation; and (ii) implement software components that run on the sensor nodes on top of existing operating systems, routing and MAC protocols that will enable us to integrate real-time functionality into existing infrastructures.'