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An improved positioning method for wireless sensor networks based on iwo

A wireless sensor and network positioning technology, applied in wireless communication, instruments, artificial life, etc., can solve the problems of many iterations and large amount of calculation of wireless sensor network positioning algorithm, achieve balance of global and local search capabilities, and reduce computing costs , the effect of high positioning accuracy

Active Publication Date: 2021-10-08
YUNNAN NORMAL UNIV +1
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Problems solved by technology

However, the IWO-based wireless sensor network positioning algorithm still has problems such as many iterations, large amount of calculation, and easy to fall into local optimum.

Method used

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  • An improved positioning method for wireless sensor networks based on iwo
  • An improved positioning method for wireless sensor networks based on iwo
  • An improved positioning method for wireless sensor networks based on iwo

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Embodiment Construction

[0033] The present invention will be further described below in combination with the accompanying drawings and specific embodiments.

[0034] An improved positioning method for wireless sensor networks based on IWO. Firstly, each wireless sensor node in the network completes the data interaction before positioning, and then performs regional estimation on the position of the unknown node to obtain the estimated area, and then takes the estimated area as the feasible To solve the search space, by improving the initial population random distribution and the standard deviation of the weed distribution, the search for the optimal solution is completed in the estimated area, and finally the optimal solution is used as the best position estimate of the unknown node, and the positioning result is output.

[0035] Such as figure 1 As shown, the specific steps are:

[0036] Step1: Complete the data interaction before positioning of each wireless sensor node in the network, and complet...

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Abstract

The invention relates to an improved IWO-based wireless sensor network positioning method, which belongs to the technical field of wireless sensor networks. The present invention first completes the data interaction before the positioning of each wireless sensor node in the network, and then conducts regional estimation on the position of the unknown node to obtain the estimated area, and then takes the estimated area as the feasible solution search space, and improves the randomness of the initial population of the algorithm. Distribution and standard deviation of weed distribution, complete the search for the optimal solution in the estimated area, and finally use the optimal solution as the best position estimate of the unknown node, and output the positioning result. The invention can effectively improve the positioning accuracy of the algorithm while increasing the convergence speed of the algorithm and reducing the calculation cost of the algorithm.

Description

technical field [0001] The invention relates to an improved wireless sensor network positioning method based on IWO (Invasive Weed Optimization), belonging to the technical field of wireless sensor networks. 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 perceived object in the network coverage area, and send it to the observer. It provides a new way of information acquisition and processing, which can be widely used in environmental monitoring (such as forest fire prevention, hydrological monitoring, etc.), target tracking, disaster relief, industrial control, precision agriculture, building status detection (such as bridge Monitoring, high-rise building monitoring, etc.), intelligent transportation, smart...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W64/00G06N3/00
CPCG06N3/006H04W64/00
Inventor 张亚明甘健侯刘燕穆向阳陈恳
Owner YUNNAN NORMAL UNIV
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