By Twan Basten, Marc Geilen, Harmke de Groot (auth.), Twan Basten, Marc Geilen, Harmke de Groot (eds.)
Hugo de guy Professor Katholieke Universiteit Leuven Senior study Fellow IMEC The regular evolution of undefined, software program and communications know-how is swiftly reworking the computer- and dot.com global into the area of Ambient Intelligence (AmI). This subsequent wave of knowledge know-how is fundam- tally assorted in that it makes allotted stressed and instant computing and verbal exchange disappear to the history and places clients to the foreground. AmI adapts to humans rather than the opposite direction round. it's going to increase our awareness, display screen our overall healthiness and protection, advisor us via site visitors and so on. in brief, its final aim is to enhance the standard of our existence via a quiet, trustworthy and safe interplay with our social and fabric surroundings. What makes AmI engineering so interesting is that its layout begins from learning individual to global interactions that must be applied as an int- ligent and self sufficient interaction of just about all worthwhile networked digital intelligence at the globe. it is a new and interesting size for many go with- cal and software program engineers and will allure extra inventive expertise to engineering than natural know-how does. improvement of the top know-how for AmI will in basic terms prevail if the engineering examine neighborhood is ready to affix forces in an effort to make Mark Weiser’s dream of 1991 come precise. this may no longer be enterprise as traditional by way of simply doubling transistor count number or clock velocity in a microprocessor or expanding the bandwidth of communication.
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Extra info for Ambient Intelligence: Impact on Embedded Sytem Design
Multiple and variable clock-frequencies‚ supply voltages‚ transistor thresholds will be supported on the same chip . 4. Butterflies: Sensor Network Devices The wireless sensor network is the most critically power- and cost-constrained component of the communication infrastructure. Individual nodes will be extremely simple objects‚ but a sensor network will contain a large number of them‚ tightly connected to the wireless base network infrastructure. Wireless sensors leverage recent advances in miniaturization and the integration of micro-electro-mechanical systems (MEMS) to build small sensors‚ optical communication components‚ and power supplies.
Current research efforts seem to push towards an increase of the “intelligence” in the wireless sensors‚ by either adopting very energy-efficient processor core (such as the CoolRisc )‚ or by increase the degree of reconfigurability (for instance‚ re-configurable hardware as in the PicoRadio sensors ). ‚ the StrongArm consumes approximately 1 nJ/instruction). Our vision is partly in contrast with this trend. We believe that future wireless sensor for ambient intelligence will not be general-purpose; ubiquity constraints will definitely sacrifice power efficiency and cost for flexibility.
Roughly speaking there are two extremes‚ which are referred to as ambient intelligence inside versus ambient intelligence outside. In the inside case the system intelligence resides as embedded software in the terminals. They are big footprint devices that can efficiently process large software stacks that implement sophisticated computational intelligence algorithms. The network that connects the devices is rather straightforward from a functional point view just allowing data communication‚ possibly at high bit rates.
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