Abstract
Recent catastrophic landslide disasters in Japan have highlighted the need for a quick and reliable warning system. The Early Landslide Warning System, which utilizes many IoT sensors, is considered effective in observing landslides. However, the number of IoT connections and the accuracy of the sensors still need to be improved, especially when compared to conventional survey methods. Therefore, this paper proposes the Enhanced MQTT method for the Early Landslide Warning System, and the proposed method improves connectivity, reduces latency, and minimizes transmitting errors by assigning priority values to IoT data. In detail, the proposed method first assigns the priority value to the user property field in the MQTT header according to the abnormality of the observed IoT data. Secondly, the proposed priority value stores the IoT data in the broker node’s priority queues. Finally, the IoT data is asynchronously transmitted to the publisher from the high-priority queue. Then, this paper reports the experiments of the Enhanced MQTT methods by the prototype system, and the effectivity and the future studies are discussed in the paper.
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Acknowledgments
This paper is an extended version of a publication presented at the 6th International Symposium on Mobile Internet Security (mobisec2022), held from December 15–17, 2022. Also, this work was supported by JSPS KAKENHI Grant Numbers JP19K04972 and JP22K04643.
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Uchida, N., Endo, S., Ishida, T., Yuze, H., Shibata, Y. (2023). Enhanced MQTT Method with IoT Data Priority Controls for Scalability and Realiability on Early Landslide Warning System. In: You, I., Kim, H., Angin, P. (eds) Mobile Internet Security. MobiSec 2022. Communications in Computer and Information Science, vol 1644. Springer, Singapore. https://doi.org/10.1007/978-981-99-4430-9_19
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DOI: https://doi.org/10.1007/978-981-99-4430-9_19
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