A multi-precision node localization method based on region determination

Abstract

The invention discloses a multi-precision node positioning method based on regional determination. The steps include: step one, calculating the fingerprint information difference value of the beacon node; step two, clustering the initial clustering center and the remaining beacon nodes; step three , determine the deployment method of the beacon node; step four, the first-level virtual block division of non-uniform deployment; step five, the first-level virtual block division of even deployment; step six, the second-level virtual block division of non-uniform deployment; Step seven, divide the virtual blocks evenly deployed at the second level; step eight, establish a positioning tree based on the distribution characteristics of beacon nodes in the entire network; step nine, position the unknown nodes. The method of the present invention does not have high requirements on the density of beacon nodes in the monitoring area, can achieve fine-grained positioning, and can obtain the survival data of wild animals more conveniently and flexibly, thereby achieving effective protection.

Description

technical field [0001] The invention relates to the application technology of a wireless sensor network, in particular to a multi-precision node positioning method based on area determination in wild animal protection and monitoring. Background technique [0002] In wildlife protection, we need to use wireless sensor networks (WSN) to obtain more accurate, real-time, and dynamic information on wild animal populations, environmental information, and individual activity patterns. The wireless sensor network is composed of a large number of independently distributed sensor nodes. The sensors collect the data of the physical environment, and then convert the measurement data of these physical environments into signals, which are aggregated to the base station or data center through the cooperation between nodes. Since the data obtained from wireless sensor network monitoring has a strong location correlation, the data lacking location information is largely useless, so node loca...

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Problems solved by technology

[0004] The positioning of WSN nodes in the field monitoring area is significantly different from the positioning in the usual environment. Aiming at the fact that the existing positioning methods cannot well meet the current situation of large-scale WSN node positioning in the field, the present invention proposes a method based on area division based on actual tasks. Driven multi-precision node positioning method, under the premise that the uniformity of node deployment is unknown, explores how to establish an effective node positioning model and how to complete node positioning with physical meaning under different deployment situations, and proposes a region-based judgment Multi-precision node localization method based on

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