Region coverage optimization method suitable for video sensor network with adjustable sensing direction

A video sensor and coverage optimization technology, applied in network planning, network topology, TV and other directions, can solve problems such as insignificant effects, improve regional coverage, improve resource utilization and network service quality, and reduce time complexity. Effect

Inactive Publication Date: 2016-08-24
CHINA UNIV OF GEOSCIENCES (WUHAN)
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  • Abstract
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  • Claims
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Problems solved by technology

For the area coverage optimization problem of video sensor networks, typical methods are based on virtual potential fie

Method used

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  • Region coverage optimization method suitable for video sensor network with adjustable sensing direction
  • Region coverage optimization method suitable for video sensor network with adjustable sensing direction
  • Region coverage optimization method suitable for video sensor network with adjustable sensing direction

Examples

Experimental program
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Embodiment

[0080] All simulation experiments in this embodiment are carried out under the Matlab software environment. In the simulation experiment, the shape and size of the monitoring area are set to be a rectangular area with a side length of 250×200, the number of sensor nodes is n=200, the node perception angle is θ=2α=60°, and the perception radius is R=20. The coordinate distribution of the sensor nodes satisfies the random normal distribution, simulating the random deployment of the sensor nodes, the coordinates of the horizontal axis are not related and independent of each other, the mean of the horizontal coordinate is half of the length of the monitoring area, and the mean of the ordinate is the vertical coordinate of the monitoring area half of. After the sensor nodes are randomly deployed, the initial perception direction is randomly uniformly distributed between [0,2π].

[0081] The parameters in the particle swarm optimization algorithm are set as the number of particles ...

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Abstract

The invention discloses a region coverage optimization method suitable for a video sensor network with an adjustable sensing direction. The method comprises the following steps: building a mathematical model of directed sensor nodes by extracting parameters such as sensing directions, sensing radiuses and coordinate positions of video sensor nodes; building a monitoring region model after gridding a monitoring region of the network; and building a sensor node sensing region model based on the characteristic of limited sensing ranges of the sensor nodes. Through a built region coverage model, problems are solved through a particle swarm algorithm specific to the optimization goal of improving the network coverage. Through adoption of the region coverage optimization method based on the particle swarm algorithm suitable for the video sensor network with the adjustable sensing direction, region coverage is maximized, so that the resource utilization ratio and service quality of the video sensor network are improved effectively.

Description

technical field [0001] The invention belongs to the field of multimedia sensor networks, in particular to an area coverage optimization method for a video sensor network with adjustable perception direction. Background technique [0002] Video surveillance system has attracted more and more people's attention, and has also become a hot spot in the current academic field. Coverage is one of the most important issues in the research of video sensors. Coverage affects the performance and quality of surveillance network to a great extent, and has become a research hotspot and received a lot of attention. [0003] But there are still problems in the current video sensor network. The deployment of video sensor networks mostly adopts random deployment. Random deployment cannot form effective coverage, because the location and sensing direction of sensor nodes are unpredictable, and there are often a large number of overlapping coverage areas and coverage blind spots, resulting in ...

Claims

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Application Information

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IPC IPC(8): H04W16/18H04W16/22H04W24/06H04N7/18H04W84/18
CPCH04N7/181H04W16/18H04W16/22H04W24/06H04W84/18
Inventor 熊永华陈娅曹卫华
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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