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Towards a Platform for Widespread Embedded Intelligence - ERCIM

Towards a Platform for Widespread Embedded Intelligence - ERCIM

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taking pictures at an event to merge their<br />

captures and provide a complete collection.<br />

Another interesting use of collaborative<br />

capture is to use several nodes to<br />

increase the quality or the accuracy of a<br />

given data, by combining their individual<br />

data.<br />

These applications, which can appear<br />

simple, raised difficult issues. Context<br />

descriptions of available resources and<br />

on-going capture processes should be<br />

accurate enough to allow sharing,<br />

without overloading the local communication<br />

medium to allow their efficient<br />

distribution on-the-field. Obviously, pri-<br />

Autarkic Power Generation<br />

<strong>for</strong> Networked Systems<br />

by Eberhard Mueller and Ulrich Hofman<br />

vacy is a big issue. For example, you<br />

may agree to share the pictures you are<br />

taking at a given event with only a few of<br />

the people present, but not the pictures<br />

taken an hour ago in another context.<br />

Traditional security, with authorisations,<br />

is difficult to apply in practice in the context<br />

of spontaneous interactions with<br />

new and potentially unknown nodes.<br />

Innovative approaches, based <strong>for</strong><br />

example on more dynamic notions such<br />

as trust and behaviour, have to be investigated<br />

be<strong>for</strong>e practical security mechanism<br />

<strong>for</strong> these systems can be found. In<br />

relation to trust, we must be able to rank<br />

the quality of the contributions, which<br />

A research project funded by the FIT-IT programme of the Austrian ministry <strong>for</strong><br />

traffic, innovation and technology (BMVIT) investigates the potential of different<br />

energy sources <strong>for</strong> communication purposes, especially <strong>for</strong> out-door activities.<br />

The economic relevance of this research<br />

activity can easily be seen by examining<br />

the ef<strong>for</strong>ts companies take to optimise<br />

the energy consumption of embedded<br />

devices. The use of alternative energy<br />

supply, like Piezo-Elements or Thermo-<br />

Elements, will thus be a great chance to<br />

achieve this goal so as to minimise costs<br />

and to make devices independent from<br />

external energy supply.<br />

Figure 1: Logical components of Unified Model.<br />

Energy management is not only considered<br />

in terms of minimising the energy<br />

consumption, but also as finding additional<br />

ways <strong>for</strong> energy to be supplied.<br />

Furthermore, the energy-consuming<br />

activities are bound to the current status<br />

of energy production and the current cost<br />

functions. For example, energy consuming<br />

communication tasks are carried<br />

out not continuously, but at optimal<br />

SPECIAL THEME: <strong>Embedded</strong> <strong>Intelligence</strong><br />

may include poor data, or even false<br />

data. Worse, the very notion of ubiquitous<br />

capture can be frightening: the<br />

potential capture activity of anyone, anywhere<br />

may change social relations<br />

between people. It's too late to do anything<br />

about that, this distributed infrastructure<br />

is already in our pockets!<br />

Link:<br />

http://www.irisa.fr/aces/<br />

Please contact:<br />

Paul Couderc, INRIA-IRISA, France<br />

E-mail: paul.couderc@inria.fr<br />

opportunities by episodic transmission<br />

protocols. This principle is verified using<br />

two very different application scenarios:<br />

skis and bicycles.<br />

The scientific aim of the project is to<br />

develop an innovative integrated framework<br />

and tool <strong>for</strong> modelling the energy<br />

and communication processes in networked<br />

embedded systems. Today's<br />

modelling approaches and tools are<br />

based on a combination of discreet modelling<br />

of the communication processes<br />

and an underlying model describing the<br />

energy consumption. The modelling and<br />

simulation of the energy processes in<br />

sinks (sensors, actuators, physical communication)<br />

and sources (generator, battery)<br />

are realised by means of continuous<br />

models.<br />

This two-paradigm approach has its disadvantages:<br />

• Handling two modelling approaches<br />

and isolated tools is difficult <strong>for</strong> the<br />

researchers/engineers and increases<br />

the duration of the development cycle.<br />

• Interfaces between different modelling<br />

approaches/tools have a potential <strong>for</strong><br />

misinterpretation by the experts in<br />

their respective domain.<br />

<strong>ERCIM</strong> News No. 67, October 2006 43

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