“Our innovation distributes the computation and each device can decide to transfer only useful amounts of data instead of a giant data deluge,” she said. “Improved efficiencies like this will benefit farmers and the environment by reducing the frequency of charging these devices and reducing reliance on cloud computing and data centers.”
Chatterjee is also director of the Innovatory for Cells and Neural Machines (ICAN) in Purdue and is a member of the Wabash Heartland Innovation Network (WHIN) leadership team.
“Drones and fixed and moving sensors collect data about humidity, temperature, carbon levels, pH and plant health on farms,” she said. It will bring this technology together as a network and will improve data analysis and use of computational resources. Multiple farms can be linked to share data as well, while maintaining privacy, taking advantage of decentralized learning on mobile devices. “
The big question she wants answered, Shaterjee said, is: As these devices get smaller and more versatile, can I approximate heavy data-analysis algorithms to fit the devices?
“These little devices don’t have the memory or computing power of the data center. Instead of increasing the size of the devices, let’s scale the algorithms right.” This approach would be faster and lead to increased congestion in network channels, which is an increasing problem as portable sensors become ubiquitous. The network can adaptively decide how much compute is on the sensor, how much is on high-end hardware, and how much is on the cloud.”
The Sirius project also aims to create a network that can monitor its own devices. Using the internet fingerprint of each device, the system can determine if the device is down or has been hacked.
“This was an idea brought up by Microsoft, and my collaboration with Microsoft Azure introduces me to the latest anomaly detection software, as well as cutting-edge computing infrastructure,” she said.
Ranveer Chandra, Managing Director of Microsoft Research, praised Project Sirius in a press release, saying, “This work is innovative and timely. Somali is uniquely positioned to combine its IoT insights with unified data analytics in the areas of drone monitoring application and sustainable agriculture. “.