Distributed wireless sensor network node self positioning method

Abstract

The present invention discloses a node autologous location method in the wireless sensor network, and the process is that each anchor node in the wireless sensor network sends the anchor node coordinate, the node ID number, the correct value, and the jumping-figure information to all nodes of the entire net, and enables the entire net to obtain the autologous information of all anchor nodes; after obtaining the smallest jumping-figure of other anchor nodes, each anchor node performs the calculation of the smallest mean square error correct value, and sends out the smallest mean square error correct value, then enables all ordinary anchor nodes to obtain the smallest mean square error correct value of all anchor nodes ultimately; each ordinary anchor node selects one smallest mean square error correct value c from the all smallest mean square error correct values, and performs the trilateral localization with each anchors node autologous information obtained from the mutual information, and performs the choice of the probability, then takes the trilateral localization coordinate of the biggest probability as the autologous position of the ordinary node. The present invention has the advantages of low energy consumption and high accuracy, thus being available in the autologous localization of the isotropic wireless sensor network node.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a self-positioning technology in a wireless sensor network, in particular to a distributed wireless sensor network node self-positioning method, which can be used in the wireless sensor network node self-positioning. Background technique [0002] The wireless sensor network is composed of a large number of cheap micro sensor nodes deployed in the monitoring area, and forms a multi-hop self-organizing network system through wireless communication. Its purpose is to cooperatively perceive, collect and process the information of the sensing objects in the network coverage area , and sent to the observer, mainly used in military scenarios, target tracking, environment detection and space exploration. For most applications, the sensed data is meaningless without knowing the location of the sensor nodes. Sensor nodes must be able to locate and track external targets only when they...

AI Technical Summary

Problems solved by technology

The disadvantage of this DV-Hop method is that only in the isotropic dense network, the correction value can reasonably estimate the average distance per hop; Energy loss, low positioning accuracy

[0007] 2. When the proportion of anchor nodes is small, in order to obtain higher accuracy, the amount of calculation is large;

[0008] 3. In the broadcast stage, the energy loss is large:

[0009] 4. When the nodes in the wireless sensor network are arranged irregularly, the positioning error is large

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