Abstract
Internet of Things (IOT) has been maturing due to multiple applications and high demand, and LoRa technology is hotter and hotter in this area. This paper explains an optimization of positioning accuracy within a certain distance, which is reflected in data processing. This technology is used to update model which is used AHP (The analytic hierarchy process) algorithm, and used data fitting to process received power data, and used GA (Genetic Algorithm) algorithm to iterative. This technology is suitable for long-distance communication positioning. In this paper, it is explained AHP (The analytic hierarchy process) algorithm, data fitting, and GA (Genetic Algorithm) algorithm. The position accuracy can be better by approximately 50% than these algorithms are not used. Finally, the kind of thinking can be used as a reference for the accuracy of long-distance positioning.
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This work was supported in part by the National Natural Science Foundation of China under Grant 61731006.
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Zhou, L., Yang, N., Zhang, K. (2019). Positioning Improvement Algorithm Based on LoRa Wireless Networks. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11634. Springer, Cham. https://doi.org/10.1007/978-3-030-24271-8_17
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DOI: https://doi.org/10.1007/978-3-030-24271-8_17
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