IoT based green house monitoring using optimization techniques.

Autor: Banupriya, R., Nagarajan, R., Kannadhasan, S.
Předmět:
Zdroj: AIP Conference Proceedings; 2023, Vol. 2587 Issue 1, p1-7, 7p
Abstrakt: Academia and business have recently concentrated on developing innovative systems for imaging and exploring inaccessible and established spaces. These networks, which are made up of sensor nodes and relay nodes borne by robots for knowledge sensing and networking, may conduct precise and real-time inspections, including in harsh environments. A realistic route tracking and localization scheme based on infrared (IR) for industrial robotics is introduced. The robot determines its location using Kalman-algorithm that combines robot odometer with data of signals from a few references RFID tags placed along the road. In such networks, sensor node localization is crucial since the findings can be used not just for locating and pinpointing leakage, but also for maneuvering mobile sensor nodes in a channel with a complicated setup. The proposed scheme will achieve high path tracking precision due to the IR sensor's high longevity. Without having to retrofit the robot with a high-end encoder, the built scheme is combined with multi-purpose robotic controller and boosts their robot's performance. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index