WSN Localization Algorithm Based on Gene Expression Programming
Aiming at the problem of premature convergence and poor local optimization ability of Genetic Algorithm(GA), this paper presents a Wireless Sensor Network(WSN) localization algorithm based on Gene Expression Programming(GEP). The sampling method is used lo estimate the initial position of the node, followed by the initial position is refined by GEP, the encoding mode and unique genetic operator of GEP have more advantages in the process of parameters discovery. Experimental results show that the algorithm is better than traditional algorithm in optimization ability, positioning precision, and convergence rate.
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