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 learn Fellow IMEC The regular evolution of undefined, software program and communications know-how is speedily remodeling the computer- and dot.com global into the realm of Ambient Intelligence (AmI). This subsequent wave of knowledge know-how is fundam- tally varied in that it makes dispensed stressed out and instant computing and conversation disappear to the heritage and places clients to the foreground. AmI adapts to humans rather than the wrong way round. it is going to increase our realization, video display our healthiness and protection, advisor us via site visitors and so forth. in brief, its final aim is to enhance the standard of our lifestyles by means of a quiet, trustworthy and safe interplay with our social and fabric setting. What makes AmI engineering so attention-grabbing is that its layout starts off from learning individual to global interactions that have to be applied as an int- ligent and independent interaction of just about all valuable networked digital intelligence at the globe. this can be a new and interesting size for many opt for- cal and software program engineers and should allure extra artistic expertise to engineering than natural know-how does. improvement of the top expertise for AmI will simply prevail if the engineering study neighborhood is ready to hitch forces that allows you to make Mark Weiser’s dream of 1991 come precise. it will now not be company as ordinary via simply doubling transistor count number or clock velocity in a microprocessor or expanding the bandwidth of communication.
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Additional info for Ambient Intelligence: Impact on Embedded Sytem Design
Concerning the specific implementation‚ we focus on the the latest mote prototype developed by the Smart Dust group : it is a autonomous‚ solar-powered sensor node with bi-directional optical communication‚ that represents the evolution of previous efforts [6‚ 32]. Figure 4 shows a block diagram of the sensor. The device digitizes integrated sensor signals and transmits and receives data optically. The demonstrated system consists of four dies: a CMOS ASIC‚ a trench-isolation SOI solar cell array‚ a capacitive accelerometer fabricated in SOI process‚ and a micro-machined four-quadrant corner-cube 46 AMBIENT INTELLIGENCE: IMPACT ON EMBEDDED SYSTEM DESIGN retroreflector (CCR) ‚ for optical communication.
Hettich‚ M. ”‚ European Wireless Conference‚ Munich‚ Germany‚ Oct. 1999‚ pp. 169–174. IEEE‚ Standards for Information Technology – Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications‚ 1999. B. ‚ “Imagine: Media Processing with Streams‚” IEEE Micro‚ Vol. 21‚ No. 2‚ pp. 35-46‚ March 2001. T. Koyama‚ K. Inoue‚ H. Hanaki‚ M. Yasue‚ E. Iwata‚ “A 250-MHz Single-chip Multiprocessor for Audio and Video Signal Processing‚” IEEE Journal of Solid-State Circuits‚ Vol. 36‚ No.
Warneke‚ M. Scott‚ B. Leibowitz‚ L. Zhou‚ C. M. E. J. Pister‚ “An Autonomous Solar-Powered Node for Distributed Wireless Sensor Networks‚” IEEE International Conference on Sensors‚ Orlando‚ FL‚ June 2002‚ pp. 1510–1515.  WINS (Wireless Integrated Sensor Network) Project Home Page‚ http://www. edu/WINS/.  R. Yeh‚ S. J.