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.