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Optimizing Energy Efficiency in MISO

𝐔𝐢𝐓- 𝐓𝐡𝐞 𝐀𝐫𝐜𝐭𝐢𝐜 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐍𝐨𝐫𝐰𝐚𝐲 is optimizing 𝐍𝐈𝐋𝐔’s calibration model to enhance energy efficiency in static nodes, reducing overall energy consumption by 3.97 times! ⚡🔋 Additionally, UiT is preparing a fault-tolerant system, where fault detection is implemented on the drone to minimize processing on static nodes.

In collaboration with 𝐐𝐮𝐞𝐞𝐧’𝐬 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐁𝐞𝐥𝐟𝐚𝐬𝐭, UiT is utilizing its advanced communication system to ensure seamless data reception from static nodes and efficient command transmission. Detected faults are then addressed by sending corrective commands to the static node.

Contact Info

Dr. Tuan-Vu Cao, project coordinator. 
The Climate and Environmental Research Institute NILU.

This project has received funding from the European Union’s Horizon Europe research and innovation programme under Grant Agreement No. 101086541.