Method for optimizing two-dimensional aeoplotropism sensor network coverage

A sensor network and optimization method technology, applied in the field of optimization of two-dimensional directional sensor network coverage, can solve problems such as difficult optimization, many influencing factors, and complex relationships, and achieve an easy-to-achieve effect

Inactive Publication Date: 2015-07-22
UNIV OF SCI & TECH BEIJING
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Problems solved by technology

[0003] In practice, the coverage performance of the sensor network will be affected by many factors. For example, due to the complexity of many application environments, the initial deployment of the network mostly adopts random deployment strategies such as sprinkling, throwing, and spraying, resulting in the distribution of nodes in the network. The large randomness can easily lead to uneven distribution of nodes; coupled with the ...

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  • Method for optimizing two-dimensional aeoplotropism sensor network coverage
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  • Method for optimizing two-dimensional aeoplotropism sensor network coverage

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[0040] In order to solve the problems existing in the prior art, the present invention uses the Python language to write a simulation program to realize the maximum coverage of the two-dimensional directional sensor network. In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0041] The present invention assumes that in a two-dimensional directional sensor network, the sensing range of a sensor node is a fan-shaped area with the node as the center and the radius as its sensing distance, such as figure 1As shown, the gray part is the fan-shaped perception area of ​​the sensor node, the radius of the sensor node's perception fan is R, and the two-dimensional coordinate is P i (x, y), the sensing azimuth angle of the sensor node is θ, the opening angle of the fan-shaped sensing area is α, and the sensing azimuth an...

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Abstract

The invention provides a method for optimizing two-dimensional aeoplotropism sensor network coverage, and belongs to the technical field of sensation. The method comprises the following steps: 1, initializing a sensor network, and calculating the initial coverage rate of a network according to the initial position, the sensation radius, the sector sensation direction angle, the sensation sector field angle and the like of a node; 2, setting the iteration times N to be 1; 3, setting a random disturbance angle for different sensor nodes so as to obtain disturbance angle vectors of the Nth iteration; 4, acquiring the coverage rates of the Nth iteration when a present network rotates on two positive and negative directions of the random disturbance angle vectors; 5, calculating approximate gradient values corresponding to the coverage rate functions, of the present different sensor nodes according to the disturbance angle vectors and the coverage rates of the Nth iteration; 6, updating the sensation direction angles of the different sensor nodes, completing the procedure when N is equal to a preset iteration times K, or else turning back to execute the step 3 when N is equal to N+1. By adopting the method, the optimal rotation angles of different sensor nodes of the two-dimensional aeoplotropism sensor network can be obtained, and the optimization efficiency is high.

Description

technical field [0001] The invention belongs to the field of sensor technology, in particular to a method for optimizing the coverage of a two-dimensional directional sensor network. Background technique [0002] With the continuous development of microelectronics technology and micro-electromechanical system (MEMS) technology, sensor technology, the most basic and important technology for information acquisition, has also made great progress. The 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 perceived objects in the network coverage area. information and send it to observers. The coverage performance of the sensor network is an important index to measure the service quality of the sensor network, which directly affects the service quality of the whole network. Most...

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Application Information

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IPC IPC(8): H04W16/18H04W16/30
CPCH04W16/18H04W16/30H04W84/18
Inventor 隆克平张燕皇甫伟张中山
Owner UNIV OF SCI & TECH BEIJING
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