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Proceedings Paper

Context-aware system design
Author(s): Christine S. Chan; Michael H. Ostertag; Alper Sinan Akyürek; Tajana Šimunić Rosing
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Paper Abstract

The Internet of Things envisions a web-connected infrastructure of billions of sensors and actuation devices. However, the current state-of-the-art presents another reality: monolithic end-to-end applications tightly coupled to a limited set of sensors and actuators. Growing such applications with new devices or behaviors, or extending the existing infrastructure with new applications, involves redesign and redeployment. We instead propose a modular approach to these applications, breaking them into an equivalent set of functional units (context engines) whose input/output transformations are driven by general-purpose machine learning, demonstrating an improvement in compute redundancy and computational complexity with minimal impact on accuracy. In conjunction with formal data specifications, or ontologies, we can replace application-specific implementations with a composition of context engines that use common statistical learning to generate output, thus improving context reuse. We implement interconnected context-aware applications using our approach, extracting user context from sensors in both healthcare and grid applications. We compare our infrastructure to single-stage monolithic implementations with single-point communications between sensor nodes and the cloud servers, demonstrating a reduction in combined system energy by 22-45%, and multiplying the battery lifetime of power-constrained devices by at least 22x, with easy deployment across different architectures and devices.

Paper Details

Date Published: 18 May 2017
PDF: 17 pages
Proc. SPIE 10194, Micro- and Nanotechnology Sensors, Systems, and Applications IX, 101940B (18 May 2017); doi: 10.1117/12.2263232
Show Author Affiliations
Christine S. Chan, Univ. of California, San Diego (United States)
Michael H. Ostertag, Univ. of California, San Diego (United States)
Alper Sinan Akyürek, Univ. of California, San Diego (United States)
Tajana Šimunić Rosing, Univ. of California, San Diego (United States)


Published in SPIE Proceedings Vol. 10194:
Micro- and Nanotechnology Sensors, Systems, and Applications IX
Thomas George; Achyut K. Dutta; M. Saif Islam, Editor(s)

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