WSN (Wireless Sensor Networks) routing optimization method based on improved PSO (particle swarm optimization)
A wireless sensor network, a technology for improving particle swarms, applied in network topology, wireless communication, advanced technology, etc.
Active Publication Date: 2016-03-23
ELECTRIC POWER RES INST STATE GRID JIANGXI ELECTRIC POWER CO +3
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However, for the routing optimization problem, it is often necessary to overcome the disadvantages of compl
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The invention relates to a WSN routing optimization method based on improved PSO. According to the method, a relational matrix containing topological structure information of the whole network serves as a PSO coding manner and is used for handling the problem of routing optimization; and intersection and variation mechanisms of a genetic algorithm are used to realize global convergence and search. The method comprises the steps of initializing parameters, initializing swarms, calculating the particle fitness, searching for Pbest and Gbest, introducing the intersection and variation mechanisms, and updating the Pbest and Gbest. According to the invention, the structure is simple, the intersection and variation mechanisms of the genetic algorithm are used to realize global convergence and search, optimized solution is realized, generation of a redundancy space and redundancy search are reduced via the relation matrix coding manner, and the instantaneity and stability of the method are improved.
Description
technical field [0001] The invention relates to a wireless sensor network routing optimization method based on an improved particle swarm algorithm, and belongs to the technical field of wireless sensor routing methods. Background technique [0002] The wireless sensor network routing optimization method based on improved particle swarm optimization algorithm is based on particle swarm optimization algorithm and routing algorithm, and uses relational matrix as the encoding method of particle swarm optimization algorithm to deal with routing optimization problems, that is, the position of particles is an The relationship matrix of the topological structure information; and the update operation of the crossover and mutation mechanism of the genetic algorithm is used to achieve the optimal solution of the target. However, for the routing optimization problem, it is often necessary to overcome the disadvantages of complex coding, large changes to the particle swarm algorithm, an...
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Login to view more IPC IPC(8): H04W40/04H04W40/10H04W84/18
CPCH04W40/04H04W40/10H04W84/18Y02D30/70
Inventor 曾伟郝玉国叶远誉江峰范瑞祥王军韩林峰
Owner ELECTRIC POWER RES INST STATE GRID JIANGXI ELECTRIC POWER CO
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