Multi-accuracy node positioning method based on area judgment

Abstract

The invention discloses a multi-accuracy node positioning method based on area judgment. The multi-accuracy node positioning method based on area judgment comprises the steps that firstly, a fingerprint information difference value of a beacon node is calculated; secondly, an initial clustering center and the residual beacon nodes are clustered; thirdly, the deployment mode of the beacon nodes is judged; fourthly, a first-stage virtual block not deployed evenly is divided; fifthly, a first-stage virtual block deployed evenly is divided; sixthly, a second-stage virtual block not deployed evenly is divided; seventhly, a second-stage virtual block deployed evenly is divided; eighthly, a positioning tree based on whole-network beacon node distribution characteristics is built; ninthly, unknown nodes are positioned. The multi-accuracy node positioning method based on area judgment has low requirements for the density of beacon nodes in a monitoring area, can realize fine grit positioning, and can obtain the survival data of wild animals more conveniently and flexibly, thereby carrying out 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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