DocumentCode :
2802134
Title :
Smart dust: Monte Carlo simulation of self-organised transport
Author :
Barker, J. ; Barmpoutis, A.
Author_Institution :
Dept. of Electron. & Electr. Eng., Glasgow Univ., UK
fYear :
2004
fDate :
24-27 Oct. 2004
Firstpage :
182
Lastpage :
183
Abstract :
Smart dust has been conceived as millimeter scale autonomous systems that form the basis for massively distributed wireless sensor networks according to B. A. Warneke and K. S. J. Pister (2002) and B. A. Warneke and K. S. J. Pister (2004). Smart dust motes have been demonstrated that pack sensors, interfaces, power sources, digital control communications and processing circuitry into a few cubic millimeters volume. The authors address the problem of how to subsequently move dust motes around in their application environment. Solutions involving robot insect motes have been advocated where distances and times are small; but this introduces additional mechanical and electronic complexity plus severe constraints on power sources. Instead, the authors focus on the possibility of extracting power from the natural fluctuating forces that act on the motes.
Keywords :
Monte Carlo methods; circuit complexity; circuit simulation; electronic engineering computing; nanopositioning; network synthesis; network topology; wireless sensor networks; Monte Carlo simulation; Smart dust; distributed wireless sensor networks; dust motes; electronic complexity; mechanical complexity; millimeter scale autonomous systems; self-organised transport; Circuit synthesis; Circuit topology; Monte Carlo methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Electronics, 2004. IWCE-10 2004. Abstracts. 10th International Workshop on
Conference_Location :
West Lafayette, IN, USA
Print_ISBN :
0-7803-8649-3
Type :
conf
DOI :
10.1109/IWCE.2004.1407387
Filename :
1407387
Link To Document :
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