A modified shuttled frog leaping algorithm for solving nodes position in wireless sensor network

A method using modified shuttled frog leaping algorithm to improve the positioning accuracy of the DV-Hop algorithm in Wireless Sensor Network is proposed. First, the unknown nodes are located by DV-Hop algorithm and the localization mechanism is transformed into solving a nonlinear least squares model. Then, the weighting factors and fitness function are chosen according to the analysis of location errors. At last, modified shuttled frog leaping algorithm with chaos mapping and Cauchy mutation is used to optimize the position of the unknown nodes. In the experiment, least squares method, particle swarm optimization algorithm and modified shuttled frog leaping algorithm are compared. The results show that the forgoing algorithm is not only more simple and reliable. but it also improves the precision of the node positioning.