In-Sensor Analytics and Energy-Aware Self-Optimization in a Wireless Sensor Node

  • Authors:
    Ningyuan Cao (Georgia Tech), Saad Bin Nasir (Georgia Tech), Shreyas Sen (Purdue), Arijit Raychowdhury (Georgia Tech)
    Publication ID:
    Publication Type:
    Received Date:
    Last Edit Date:
    2720.001 (Georgia Institute of Technology)


With the proliferation of distributed sensors and Internet of Thing end-nodes, aggregate data transfer to the backend servers in the cloud is expected to become prohibitively large which not only results in network congestion, but also high energy expenditure a the sensor nodes. This motivates in-sensor data analytics that can perform context-aware acquisition and processing of data; and transmit data only when required. This paper presents a camera based wireless sensor node with in sensor computation, wireless communication and end-to-end system optimization. Depending on the amount of information content and the wireless channel quality, the system chooses the minimum energy operating-point by dynamically adjusting the processing depth (PD) and power amplifier (PA) gain. We demonstrate a complete end-to-end system and measure 3:7Ă— reduction in energy consumption compared to a baseline design where only rudimentary image compression is performed.

4819 Emperor Blvd, Suite 300 Durham, NC 27703 Voice: (919) 941-9400 Fax: (919) 941-9450

Important Information for the SRC website. This site uses cookies to store information on your computer. By continuing to use our site, you consent to our cookies. If you are not happy with the use of these cookies, please review our Cookie Policy to learn how they can be disabled. By disabling cookies, some features of the site will not work.