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Given to the non-line-of-sight (NLOS) error existing in the location of wireless sensor network (WSN), together with the strong anti-noise ability, good data approximation and flexible parallel data processing ability of BP neural network, the method of using BP neural network to optimize the location of WSN nodes is put forward in this paper. Firstly, the source of error is analyzed. Then the traditional...
The temperature and moisture of single soil layer is difficult to represent the real growth environment around crop root. The measurement of temperature and moisture in multilayer and multipoint soil is easy to know water demand around crop root during its growth period deeply and accurately. It also can improve the water utilization coefficient and achieve basic data for the research on soil water...
Aiming at the wireless sensor network (WSN) positioning of the centroid localization algorithm with the problem of inaccurate positioning, this paper proposes an improved weighted centroid localization algorithm based on RSSI. This algorithm regard the distance between the unknown node and the reference of anchor nodes as the weight in centroid localization algorithm, make full use of the unknown...
This paper describes the necessity of developing ecological monitoring in the Baisha Lake of Nanji Wetland National Natural Reserve. Considering the geographical and environmental factors, the urgent need of ecological monitoring is discussed in the study area. According to the framework of wireless sensor network, a scheme to solve some of the problems regarding the system installation is designed...
In order to improve the location accuracy in the complicated greenhouse environment, a positioning system is designed in this paper. According to RSSI data in the greenhouse, the parameters of the path-loss model are modified. Besides, least square estimation is used to filter RSSI data to eliminate random disturbance. Based on RSSI, the blind node is positioned by triangle centroid location method...
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