Bacteria foraging optimal localization method for unknown sensor nodes in wireless sensor networks

A sensor node and wireless sensor technology, applied in wireless communication, network topology, design optimization/simulation, etc., can solve the problems of low positioning accuracy and complex algorithms of positioning algorithms

Inactive Publication Date: 2021-01-26
TAIYUAN UNIV OF TECH
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  • Abstract
  • Description
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Problems solved by technology

[0004] The invention solves the problems of low positioning accuracy and complex algorithm of the existing ranging-based positioning algorithm, and provides a bacterial foraging optimization positioning method for unknown sensor nodes in a wireless sensor network

Method used

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  • Bacteria foraging optimal localization method for unknown sensor nodes in wireless sensor networks
  • Bacteria foraging optimal localization method for unknown sensor nodes in wireless sensor networks
  • Bacteria foraging optimal localization method for unknown sensor nodes in wireless sensor networks

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Embodiment Construction

[0048] The optimal positioning method for bacteria foraging for unknown sensor nodes in a wireless sensor network is realized by the following steps:

[0049] S1: The unknown node P receives the signal of the surrounding beacon nodes, and converts the received signal strength value into the distance value between the unknown node and the beacon node;

[0050] S2: Set the number of beacon nodes that the unknown node P can receive signals to be m, m≥2, take beacon nodes at any two positions as a group, there are k groups in total, and there are two beacon nodes in any group Nodes are represented by A and B;

[0051] S3: Collect the coordinates A(x A ,y A ), B(x B ,y B ); Calculate the distance L between the beacon node A and the beacon node B AB ; The distance between the beacon node A and the unknown node P obtained according to step S1 is denoted as L AP , the distance between the unknown node P and the beacon node B is denoted as L PB ;

[0052] S4: Determine whether ...

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Abstract

The invention relates to a wireless sensor network positioning technology, in particular to a bacteria foraging optimization positioning method for unknown sensor nodes in the wireless sensor network, which is mainly used for obtaining accurate position information of the unknown sensor nodes in the wireless sensor network. It solves the problems of low positioning accuracy and complex algorithm of existing ranging-based positioning algorithms. The method of the present invention converts the signal strength value received between nodes into a distance value between nodes, and uses the known position coordinates of any two beacon nodes A and B around the unknown node to obtain the unknown The two possible coordinates of the node are determined, and finally the bacterial foraging algorithm (BFO) is used to optimize and determine the unknown node coordinates to complete the positioning. The method of the invention improves the precision of the algorithm, reduces the complexity of the algorithm, reduces the energy consumption of the node, and prolongs the life cycle of the node.

Description

technical field [0001] The invention relates to a wireless sensor network positioning technology, in particular to a bacterial foraging optimization positioning method for unknown sensor nodes in the wireless sensor network, which is mainly used for obtaining accurate position information of the unknown sensor nodes in the wireless sensor network. Background technique [0002] In recent years, the Internet of Things technology has continuously achieved new results, and has been applied to the fields of national defense, military, environmental monitoring, traffic management, medical and health care, manufacturing, disaster relief, etc. As one of the underlying technologies of the Internet of Things, wireless sensor networks have become a research area. hotspot. Among them, obtaining accurate location information through positioning algorithms is a very important content of wireless sensor networks. [0003] Positioning algorithms are divided into non-range-based positioning...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/02H04W64/00H04W84/18G06F30/27G06N3/00
CPCG06F30/20H04W4/023H04W64/006H04W84/18Y02D30/70
Inventor 乔学工周文祥段亚青
Owner TAIYUAN UNIV OF TECH
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