In‐Sensor Computing: Materials, Devices, and Integration Technologies

The number of sensor nodes in the Internet of Things is growing rapidly, leading to a large volume of data generated at sensory terminals. Frequent data transfer between the sensors and computing units causes severe limitations on the system performance in terms of energy efficiency, speed, and security. To efficiently process a substantial amount of sensory data, a novel computation paradigm that can integrate computing functions into sensor networks should be developed. The in-sensor computing paradigm reduces data transfer and also decreases the high computing complexity by processing data locally. Here, the hardware implementation of the in-sensor computing paradigm at the device and array levels is…

• HK
  Hong Kong Polytechnic University

  Award: 1‐ZE1T
• ST
  Science, Technology and Innovation Commission of Shenzhen Municipality

  Award: SGDX2020110309540000
• UR
  University Research Committee, University of Hong Kong

  Award: 15205619