ABSTRACT

Xu, Y.; Shan, H., and Jia, Y., 2020. Optimal location method of submarine landslide monitoring point based on low power sensor network. In: Malvárez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 1355–1360. Coconut Creek (Florida), ISSN 0749-0208.

Submarine landslide low power sensor network is a network system which provides a data transmission channel for submarine landslide monitoring. In the submarine landslide low power sensor monitoring network, due to the mobility and randomness of nodes, submarine landslides occur frequently. In order to improve the stability and reliability of the submarine landslide monitoring system, the fast location of the best monitoring node in the low power sensor network for submarine landslides is presented. Based on the feature tracking fusion of submarine landslides, a fast location algorithm for optimal monitoring nodes in the low power sensor network of submarine landslides is presented in this paper. The node distribution and data transmission model of the submarine landslide low power sensor monitoring network are constructed, and the communication channel estimation of the submarine landslide low power sensor monitoring network is carried out. The frequency domain characteristic analysis is used to obtain the time-frequency component characteristics of the optimal monitoring nodes in the low-power monitoring network of submarine landslides. The submarine landslide feature tracking fusion method is used to locate the nodes in order to improve the accuracy of the optimal monitoring nodes location. The simulation results show that the proposed algorithm has less error and higher accuracy, and improves the capability of submarine landslide monitoring network with low power consumption sensor network. The stability and reliability of the communication between the low power sensor monitoring network and the submarine landslide are guaranteed.

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