Implementation Method of Video Sensor Network Coverage Enhancement Based on Differential Evolution
A video sensor and network coverage technology, applied in network topology, network planning, wireless communication, etc., can solve problems such as increased network maintenance costs, shortened network lifetime, sensor node failure, etc., to achieve enhanced coverage and reduce overlapping areas of network perception and the effect of perceptual blind spots
Active Publication Date: 2018-10-30
JIANGNAN UNIV
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Problems solved by technology
In the actual application environment, considering the deployment cost of the video sensor network, it is unrealistic for all deployed video sensor nodes to have mobility. In addition, the mobility of sensor nodes leads to dynamic changes in the network topology, which can easily cause some sensors to The failure of the node will increase the maintenance cost of the network and shorten the life cycle of the network
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[0024] In order to make the description of the technical solution and implementation process of the present invention clearer, the specific implementation steps of the video sensor coverage enhancement implementation method based on differential evolution will be further described in detail below in conjunction with the accompanying drawings:
[0025] refer to figure 1 , which describes the block diagram of the implementation method of video sensor network coverage enhancement in the form of information flow. First, according to the actual environment of the monitoring area, the continuous two-dimensional plane is discretized, and the coordinate information is uploaded to the control center; then, a certain number of For video nodes, each node sends coordinate information and sensing direction to the sink node; the sink node summarizes and forwards information to the control center, takes the sensing direction angle of the video node as the decision variable, monitors the area ...
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The invention discloses a video sensor network coverage enhancement realization method based on differential evolution. The method uses a monitored-area coverage rate as a target function and uses a global optimization capability of a differential evolution algorithm to adjust the sensing directions of video nodes in a coordinated manner so as to reduce network coverage dead zones. The method relates to the two fields of multimedia sensor network coverage control and intelligent computing. The method includes the following steps: firstly, according to a monitored-area practical environment, continuous two-dimension planes are discretized and coordinate information is uploaded to a control center; then a specific number of video nodes are deployed randomly and the nodes send coordinate information and sensing directions to a aggregation node; and the aggregation node aggregates and forwards the information to the control center, uses sensing direction angles of the video nodes as a decision variable and the monitored-area coverage rate as a target function, approximates an optimal node sensing direction step by step through three operations including variation, crossing and selection of the differential evolution algorithm so as to obtain maximization of the coverage rate, and issues a node direction control instruction to a video sensor network so as to adjust the node sensing directions.
Description
technical field [0001] The invention relates to the two fields of multimedia sensor coverage control and intelligent calculation, and in particular to a method for implementing video sensor network coverage enhancement based on differential evolution. Background technique [0002] The rapid development and increasing maturity of communication technology, embedded technology and sensor technology have promoted the emergence and development of modern wireless sensor networks. As the monitoring environment becomes more and more complex and changeable, the simple data obtained by traditional sensor networks cannot meet people's overall needs for environmental monitoring. It is urgent to introduce information-rich audio, video and other media into sensor network-based systems. Environmental monitoring activities, thus, multimedia sensor network came into being. As a kind of multimedia sensor network, video sensor network uses built-in video sensors to monitor images and video in...
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IPC IPC(8): H04W24/02H04W84/18
CPCH04W16/18H04W24/02H04W84/18
Inventor 熊伟丽刘欣陈敏芳姚乐徐保国
Owner JIANGNAN UNIV