Wireless optical fiber sensor network deployment method based on particle swarm optimization

A fiber optic sensor and particle swarm algorithm technology, which is applied in network planning, network topology, wireless communication, etc., can solve the problems of high node cost and high energy consumption of fiber optic sensors, and achieve the effect of low network cost

Active Publication Date: 2012-08-01
SHANGHAI UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a wireless fiber optic sensor network deployment method for known m

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  • Wireless optical fiber sensor network deployment method based on particle swarm optimization
  • Wireless optical fiber sensor network deployment method based on particle swarm optimization
  • Wireless optical fiber sensor network deployment method based on particle swarm optimization

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Embodiment Construction

[0101]An embodiment of the wireless optical fiber sensor network deployment method based on the particle swarm algorithm of the present invention is provided below according to FIGS. , to make the present invention easier to understand, but not to limit the scope of the present invention.

[0102] This embodiment is applied to the node deployment stage of the wireless fiber optic sensor network based on the particle swarm algorithm, such as figure 1 As shown, it specifically includes the following steps:

[0103] (1) Establish the underlying network network model.

[0104] Suppose there are 40 hotspots to be measured (such as figure 2 As shown), there are two kinds of nodes to be deployed, namely: optical fiber sensor node and management node. The fiber optic sensor nodes are used to collect information and send it to the management node, and the management node is used to collect information and forward the sensing information from the fiber optic sensor nodes. On each ...

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Abstract

The invention relates to a wireless optical fiber sensor network deployment method based on particle swarm optimization. The method comprises the following steps of: establishing a bottom layer network deployment optimization model specific to the aim of minimizing the energy consumption of an optical fiber sensor node and bottom layer network cost, and solving by adopting multi-target particle swarm optimization based on a discrete binary system to obtain a bottom layer network deployment scheme and realize distributed sensing of a monitored area; and establishing an upper layer network deployment optimization model on the basic of the bottom layer network deployment scheme specific to the aim of minimizing upper layer network cost under the constraining action of upper layer network full communication, designing a fitness function for increasing particle difference, and solving by adopting particle swarm optimization based on simulated annealing to obtain an upper layer network deployment scheme and realize multiple hop transmission of sensing data. Due to the adoption of the method, the energy consumption of the optical fiber sensor node can be lowered, the energy consumption of management nodes is balanced, the network life is prolonged, the quantity of deployed routing nodes and management nodes can be reduced on the premise of ensuring full network communication, and network cost is reduced.

Description

technical field [0001] The invention relates to a wireless fiber optic sensor network deployment method based on a particle swarm algorithm, and belongs to the technical fields of wireless sensor network technology and intelligent computing technology. Background technique [0002] The wireless fiber optic sensor network is composed of a large number of deployed fiber optic sensor nodes, which cooperatively sense, collect, and process information in the monitoring area, and transmit it to the control center in a wireless multi-hop manner. The wireless fiber optic sensor network combines the advantages of fiber optic sensors such as anti-electromagnetic interference, flameproof and explosion-proof, and the advantages of flexible wireless networking, strong scalability, low cost, and distributed computing. It is suitable for flammable, explosive, strong Corrosive, high electromagnetic interference and other high-risk environments have very important theoretical and practical s...

Claims

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Application Information

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IPC IPC(8): H04W16/18H04W24/02H04W84/18
CPCY02B60/50Y02D30/70
Inventor 王廷云朱姗
Owner SHANGHAI UNIV
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