Research on Differential Particle Swarm Optimization Algorithm for Wireless Network Location in Seismic Exploration

Abstract

A novel hybrid optimization algorithm (DEPSO) is proposed for TDOA location and data security optimization problem in wireless network of 4G seismic exploration instrument based on the combination of the difference evolution algorithm (DE) and particle swarm optimization (PSO). Based on the DE, the algorithm is based on the neighborhood structure of cell topology, and avoids the injection of false information based on distributed compressed sensing technology. The novel algorithm which establishes the information sharing mechanism between the improved DE and the PSO can avoid to fall into local optimum and slow convergence problems. The simulation result shows that the improved algorithm improves the accuracy, robustness and data security, than the classical algorithm's so that it makes 4G seismic exploration instrument far more feasible and superior in practice than ever.