2003
DOI: 10.1109/tc.2003.1223635
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Modeling, analysis, and self-management of electronic textiles

Abstract: Abstract-Scaling in CMOS device technology has made it possible to cheaply embed intelligence in a myriad of devices. In particular, it has become feasible to fabricate flexible materials (e.g., woven fabrics) with large numbers of computing and communication elements embedded into them. Such computational fabrics, electronic textiles, or e-textiles have applications ranging from smart materials for aerospace applications to wearable computing. This paper addresses the modeling of computation, communication an… Show more

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Cited by 28 publications
(11 citation statements)
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References 17 publications
(21 reference statements)
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“…Lu et al [14] have studied polymer composites as gate dielectrics for organic electronic applications. Marbell et al [18] have provided high-level models for system implementation in electronic textiles. Nieuwoudt et al [19] have provided a theoretical process variability analysis on carbon nanotubes.…”
Section: Previous Workmentioning
confidence: 99%
“…Lu et al [14] have studied polymer composites as gate dielectrics for organic electronic applications. Marbell et al [18] have provided high-level models for system implementation in electronic textiles. Nieuwoudt et al [19] have provided a theoretical process variability analysis on carbon nanotubes.…”
Section: Previous Workmentioning
confidence: 99%
“…In what we term lightweight code migration [12,13], in contrast to traditional process migration [6], applications are implemented in a manner in which they can be asynchronously restarted while maintaining persistence for important state. By placing information that must be persistent across restarts in the initialized and uninitialized data segments of the application, it is possible to maintain state across migration while only transferring the program code, initialized data and uninitialized data segments.…”
Section: Experimental Evaluationmentioning
confidence: 99%
“…These efforts have further been bolstered by recent attention to the effect of application profiles on battery lifetimes. Progress in device technologies, coupled with reduction in costs, is enabling new classes of applications, such as sensor networks, and large-area surfaces with embedded computation, sensing and actuation capabilities [13]. Such flexible substrates may contain 100's or 1000's of low power microcontrollers embedded per m 2 , with power distribution and communication fibers, and actuation capabilities in the form of shape-memoryalloys embedded in the substrate [14].…”
Section: Introductionmentioning
confidence: 99%
“…Several architectures with distributed deployment of batteries are proposed in [5]. Adaptive techniques, such as code migration and remote execution, applied to redundantly deployed nodes have also been proposed to increase the operational lifetime of the e-textile applications.…”
Section: Related Workmentioning
confidence: 99%
“…However, they do not apply to e-textile platforms because of the inherent difference in the cost functions that characterize wireless and wired environments, and because of their high requirement of computational and memory resources. We follow the same general distributed deployment scheme of batteries as in [5], but due to potential link failures, the target architecture in our case is a network instead of a bus-based architecture. Also, unlike [5], fixed and re-programmable devices are supported as computational nodes in our architecture.…”
Section: Related Workmentioning
confidence: 99%