NSF Award (2030154): CNS: Medium: Energy Centric Wireless Sensor Node System for Smart Farms
This webpage tracks the current progress of our funded project with the NSF. Our sincere thanks to the National Science Foundation for supporting our research.
Project Goals
This project aims to design an energy-centric solution that actively schedules communication and computation to minimize energy waste in energy harvesting contexts for animal sensing and agricultural applications more broadly. The proposed sensor node will monitor biometrics, acceleration, and location of animals and is powered by solar energy. The proposal further builds a physical and medium-access communication layer that is actively aware of the energy-mismatch between the low-energy sensors and the more capable LoRa (Long Range) gateways. The adoption of wireless technologies introduces cybersecurity vulnerabilities, and hence, cybersecurity is another major design objective of the proposed system by leveraging belief models and deep learning techniques while maintaining high quality monitoring services. The proposed sensor network will be tested at Virginia Tech’s farm testbeds, which have been designed to test and showcase such technologies for pastured livestock. The research will also be beneficial to the fields of semiconductor devices, embedded systems, Internet-of-Things (IoT) devices, wireless communications including 5G and beyond, robust machine/deep learning, cybersecurity, statistical signal detection, and agricultural production. The project will pioneer transformative research to increase productivity of animal agriculture and allow for real-world testing of advancements.
Activities and Outcomes
Intellectual Merit:
The proposed research led to an accepted paper at IPSN. The research has been demonstrated on commodity low-power devices.
- ToMoBrush: Exploring Dental Health Sensing using a Sonic Toothbrush, Kuang Yuan, Mohamed Ibrahim, Yiwen Song, Guoxiang Deng, Robert A. Nerone, Suvendra Vijayan, Akshay Gadre, and Swarun Kumar, UbiComp 2024
- NFCapsule: An Ingestible Sensor Pill for Eosinophilic Esophagitis Detection Based on Near-field Coupling, Junbo Zhang, Gaurav Balakrishnan, Sruti Srinidhi, Arnav Bhat, Swarun Kumar and Christopher Bettinger, SenSys 2022
- MiLTOn: Sensing Product Integrity without Opening the Box using Non-Invasive Acoustic Vibrometry, Akshay Gadre, Deepak Vasisht, Nikunj Raghuvanshi, Bodhi Priyantha, Manikanta Kotaru, Swarun Kumar and Ranveer Chandra
, IPSN 2022
Broader Impacts:
One graduate student has been trained during the course of this research. The PI participated in several events organized by the Gelfand Center at CMU which invites groups of K-12 students and teachers to the CMU campus to learn about state-of-the-art research.
Personnel
Faculty
- Swarun Kumar (Site PI, CMU)
- Dong Ha, Robin White, Jin-Hee Cho (VT)
Students
- Akshay Gadre
- Akarsh Prabhakara
- Kuang Yuan
- ToMoBrush: Exploring Dental Health Sensing using a Sonic Toothbrush, Kuang Yuan, Mohamed Ibrahim, Yiwen Song, Guoxiang Deng, Robert A. Nerone, Suvendra Vijayan, Akshay Gadre, and Swarun Kumar, UbiComp 2024
- NFCapsule: An Ingestible Sensor Pill for Eosinophilic Esophagitis Detection Based on Near-field Coupling, Junbo Zhang, Gaurav Balakrishnan, Sruti Srinidhi, Arnav Bhat, Swarun Kumar and Christopher Bettinger, SenSys 2022
- MiLTOn: Sensing Product Integrity without Opening the Box using Non-Invasive Acoustic Vibrometry, Akshay Gadre, Deepak Vasisht, Nikunj Raghuvanshi, Bodhi Priyantha, Manikanta Kotaru, Swarun Kumar and Ranveer Chandra
, IPSN 2022