首页|New Findings in Machine Learning Described from Murdoch University (Lora Localis ation Using Single Mobile Gateway)
New Findings in Machine Learning Described from Murdoch University (Lora Localis ation Using Single Mobile Gateway)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting originating in Murdoch, Australia, by NewsRx journalists, research stated, “Effective use of GPS and mobile networ ks for localisation in rangeland areas is constrained by their high power consum ption and high deployment costs. Long-range (LoRa), a low -power wide area netwo rk (LPWAN) technology, can be employed to mitigate these challenges.” The news reporters obtained a quote from the research from Murdoch University, “ In contrast to prior research where the prevalent approaches entail multiple gat eways. This work proposes a valuable methodology focused on a single mobile LoRa gateway for localisation. A particle filtering and machine learning -based pipe line is employed to map the distance between a target node and the gateway from the received signal strength indicator (RSSI). Particle filtering is used to red uce the impact of noise on the RSSI values. Then, several machine learning techn iques, such as support vector machines, random forest, and k -nearest neighbour, are used on the RSSI values to estimate the distance. The estimated distance is then used for tracking using a centroid pseudotrilateration method. The propose d method was tested in a real -world semi -line -of -sight setting, using three datasets generated by LoRaWAN-specified hardware components and a server. Two fo rms of experiments were performed: active searching and passive monitoring. We p ropose an iterative estimation process to address the dilution of precision caus ed by the initial positions of the gateway required for active searching applica tions. The results show that active searching typically requires 2 to 3 hops to reach a target node.”
MurdochAustraliaAustralia and New Ze alandCyborgsEmerging TechnologiesMachine LearningMurdoch University
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