Abstract: Focusing on the requirements of low cost and high accuracy in wireless sensor network(WSN)，an improvc- ment method of weighted centroid localization algorithm was introduced based on received signal strength indicator(RS- SI) which used the quantum-behaved particle sSwarm optimization(QPSO ) to optimize WCLA evaluation coordinates to decrease the localization error, moreover, the convergence rate was quicken by improving expand/ contract coefficient. The simulation shows that the localization accuracy of the new algorithm is significantly superior to that of weighted centroid localization algorithm and weighted centroid localization optimized by PSO, and it could also overcome the short coming of PSO that convergent slowly and easy to fall into local minimum.

Key words: Wireless sensor networks, RSSI, Weighted centroid localization algorithm, Quantum-behaved particle swarm optimization, Nodc localization