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Clustering control method of intelligent wireless sensor network based on DPSO (Discrete Particle Swarm Optimization)

A wireless sensor network and control method technology, applied in the field of wireless sensor network clustering control, can solve the problems of unstable results, uneven clustering, unfavorable and reliable communication, etc., and achieve stable clustering results, uniform clustering, The effect of facilitating reliable communication

Active Publication Date: 2011-04-13
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0010] In order to overcome the shortcomings of the existing wireless sensor network LEACH protocol, such as uneven clustering, unstable results, and unfavorable for reliable communication, the present invention provides a uniform clustering, stable clustering results, and convenient for reliable communication. Clustering control method of intelligent wireless sensor network based on DPSO

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  • Clustering control method of intelligent wireless sensor network based on DPSO (Discrete Particle Swarm Optimization)
  • Clustering control method of intelligent wireless sensor network based on DPSO (Discrete Particle Swarm Optimization)
  • Clustering control method of intelligent wireless sensor network based on DPSO (Discrete Particle Swarm Optimization)

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Embodiment Construction

[0050] The present invention will be further described below in conjunction with the accompanying drawings.

[0051] refer to Figure 1 ~ Figure 3 , a DPSO-based intelligent wireless sensor network clustering control method, the clustering control method comprises the following steps:

[0052] Assuming that each sensor node can obtain its own location information, then each sensor node will send its own location information to the base station, and then the base station with sufficient energy and strong computing power will run this algorithm to calculate the globally optimal cluster head.

[0053] Step 1: n sensor nodes send their respective IDs and location coordinates to the base station, and the base station records the ID and corresponding location information of each sensor node.

[0054] The second step: start the particle swarm algorithm, first randomly initialize the velocity and position of each particle. The position of each particle is randomly initialized as fi...

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Abstract

The invention relates to a clustering control method of an intelligent wireless sensor network based on DPSO (Discrete Particle Swarm Optimization). The clustering control method comprises the following steps of: (1) receiving ID (identification) and position information of n sensor nodes of the intelligent wireless sensor network; (2) randomly initializing the speed and the position of each particle; (3) calculating a fitness function value of each particle to obtain the smallest fitness function value and the corresponding particle position of all of the particles; (4) updating the speed and the new position of the particle; (5) recalculating the fitness function value of the generation according to the updated particle position by each particle and selecting the particle with the smallest fitness function value as a particle with global optimum; and (6) judging whether iterative round number reaches the maximum iterative round number, if not, returning to the step (4), if so, separating each optimal cluster head and cluster nodes thereof according to the number of the sensor node at the position of the global best particle to form the cluster structure division with global optimum. The invention has uniform cluster and stable cluster result, and is beneficial to reliable communication.

Description

[0001] technical field [0002] The invention relates to a wireless sensor network routing control technology, in particular to a wireless sensor network clustering control method. Background technique [0003] Wireless sensor network WSN (Wireless Sensor Network) is a network composed of many cheap sensor nodes with information collection functions, used to sense and collect various information, and transmit the collected information to the base station BS (Base Station) for information for further processing. Sensor nodes are powered by batteries, and the energy is very limited, so it is very important to design an energy-efficient WSN routing protocol. At present, WSN routing protocols are divided into two categories: flat routing protocols and clustering routing protocols. [0004] The LEACH (Low Energy Adaptive Clustering Hierarchy) protocol is a representative low-power clustering routing protocol. Compared with other flat routing protocols, the life cycle of LEACH i...

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Application Information

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IPC IPC(8): H04W4/08H04W40/20H04W84/18
Inventor 王万良侯佳斌范兴刚蒋一波韩姗姗王翊赵燕伟
Owner ZHEJIANG UNIV OF TECH
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