Lecture
Significance-Driven Computation: WBSN
Description
This lecture introduces the Significance-Driven (SD) Computation methodology for unreliable memories in Wireless Body Sensor Networks (WBSN). It covers the characterization of significance, fault analysis, protection optimization, and sensitivity metrics. The lecture also discusses the application of SD computation in WBSN nodes, including a case study on a smarter ECG monitor and the future of smart embedded systems in the Internet of Things (IoT).
Official source
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