1 / 5

Dynamically-optimal Smart Sensor Resource Allocation and Processing

Dynamically-optimal Smart Sensor Resource Allocation and Processing. Ari Y. Benbasat Responsive Environments Group MIT Media Laboratory. Problem Statement. Limited power availability is one of the key problems in smart sensor systems Power cell density increasing slowly

fai
Download Presentation

Dynamically-optimal Smart Sensor Resource Allocation and Processing

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Dynamically-optimal Smart Sensor Resource Allocation and Processing Ari Y. Benbasat Responsive Environments Group MIT Media Laboratory

  2. Problem Statement • Limited power availability is one of the key problems in smart sensor systems • Power cell density increasing slowly • Design smart sensor system to operate as efficiently (low-power) as possible • Identify world states of interest • Alter operation dynamically to be optimal in each

  3. Sample Problems • Medical logging device • Stand-alone system (no outside data sources) • Collects and logs data over extended time • Sample states: Walking / Still / Twitching • Node in ad-hoc sensing network • One of many similar sensor systems • Combines its own and others’ data to make decisions • Sample states: Interesting data? – None / Own / Others’

  4. Possible Solutions • Real-time sensor selection • Choose the sensor which provides just enough information to confirm world state, calculate any parameters of interest • Variable accuracy processing • Alter order of processing to calculate parameters based on most relevant data first • Selective transmission/storage of data • Save bandwidth / power by using current and previous data (from all sources) to compute importance of data

  5. Hardware Platform (The Stack) • Modular architecture based on 1.4” sq. boards • 26 (14 + 12) pin headers to connect signals and power between boards. • CCW from bottom left: • Main board: 22 MIPS processor w/ 12 bit ADC & 115.2 kBps wireless transceiver w/ TDMA. • IMU board: Full 6 DOFs - 3 axes of accels & 3 axes of gyros. Flat. • Tactile board: Inputs & signal processing for FSRs and PVDFs. • Power regulation board

More Related