Hands on SCuM

References for technical details about SCuM chip:

• Temperature-Compensated BLE Transmission from a Crystal-Free Mote (Titan Yuan)

• SCuM-3C user guide

• Sahar’s thesis

Interesting facts concerning SCuM (referring mainly to Frequency Compensated Crystal-Free 802.15.4 Wireless Radio and Single-Chip Micro Mote in EEG, fMRI, and TMS Systems):

1. SCμM has been used for many applications such as:

   1. driving an autonomous robot

      1. Small Autonomous Robot Actuator (SARA): A Solar-Powered Wireless MEMS Gripper (https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9561294) in 2021

      2. Single-Chip micro-Mote for Microrobotic Platforms (https://people.eecs.berkeley.edu/~pister/publications/2020/MorenoGOMAC2020.pdf) in 2020

   2. Microrocketry

      1. Brian’s thesis entitled as “Actuation and Localization of Resource-Constrained Autonomous Microrobotic Systems“ (https://digitalassets.lib.berkeley.edu/techreports/ucb/incoming/EECS-2021-20.pdf) in 2021

   3. temperature sensor

      1. Temperature calibration on a crystal-free mote (https://ieeexplore.ieee.org/document/9221351) in 2020

      2. Solar-Powered Crystal-Free 802.15.4 Wireless Temperature Sensor (https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9278679) in 2020

   4. cm- accuracy 3-D localization sensor

      1. Accurate 3D lighthouse localization of a low-power crystal-free single-chip mote (https://ieeexplore.ieee.org/document/9159883) in 2020

      2. A low-power optical receiver for contact-free programming and 3D localization of autonomous microsystems (https://ieeexplore.ieee.org/document/8992964) in 2019

      3. Brian’s thesis entitled as “Actuation and Localization of Resource-Constrained Autonomous Microrobotic Systems“ (https://digitalassets.lib.berkeley.edu/techreports/ucb/incoming/EECS-2021-20.pdf) in 2021

   5. in EEG, fMRI, and TMS Systems

      1. Joshua’s master thesis entitled as “Single-Chip Micro Mote in EEG, fMRI, and TMS Systems“ (https://www2.eecs.berkeley.edu/Pubs/TechRpts/2022/EECS-2022-136.pdf) in 2022

   6. wireless hydrogen sulfide gas sensor system

      1. Crystal-free wireless communication with relaxation oscillators and its applications (https://www2.eecs.berkeley.edu/Pubs/TechRpts/2019/EECS-2019-5.pdf) in 2019

   7. tracking invasive Asian hornets in Europe as they fly back to their nests

      1. Crystal-Free Architectures for Smart Dust and the Industrial IoT (https://ieeexplore.ieee.org/document/9340195) in 2020

   8. Forest Fire Warning

      1. A million Smart Dusts distributed over a few acres of forest would not only be able to monitor the temperature at a million different points but also provide information in terms of traveling heat waves or moving cold fronts.

      2. COTS Dust (https://people.eecs.berkeley.edu/~pister/publications/dissertations/hollar ms 2000.pdf) in 2000

   9. Enemy Troop Monitoring

      1. With the ability to detect temperature, light, acceleration, and sound, Smart Dust could be scattered throughout a surveillance area.

      2. COTS Dust (https://people.eecs.berkeley.edu/~pister/publications/dissertations/hollar ms 2000.pdf) in 2000

2. SCμM can be powered by a solar cell (Zappy2) under 200 mW/cm2 of irradiation, and an 100 μF 0805 capacitor.

3. other references:

   1. THE PLATFORMS ENABLING WIRELESS SENSOR NETWORKS

COTS Dust (https://people.eecs.berkeley.edu/~pister/publications/dissertations/hollar ms 2000.pdf) in 2000 → the following comparison is specifically important with respect to RFIDs

1. “Smart Dust Capabilities
   For this research, I assumed Smart Dust would have specific capabilities. Namely, Smart Dust would have four basic components:

   1. Power. In order to monitor an environment for any length of time, the dust particle must have enough energy to survive anywhere from a few hours to months at a time.

   2. Computation. Since the dust particle is expected to communicate and process sensor data, the dust particles must have computational requirements ranging anywhere from an 8 bit micro controller to a full blown 32 bit microprocessor.

   3. Sensors. The interface between the environment and the dust particle is the sensor. The dust particles should have basic environmental sensors which may include temperature, pressure, humidity, light, sound, acceleration, magnetic fields.

   4. Communication. Communication must be possible in standard outside environments. Dust particles must have the ability to communicate with one another at ranges from a few meters to kilometers.”