To improve the weakness of low localization accuracy and slow rate of convergence in the heuristic-based node localization algorithm, WSN node localization based on social spider optimization and opposition based learning is proposed. For reducing random search in the previous stage, a strategy of Bounding-box is firstly performed by determining a square area where the heuristic individual will be initialized. Then weighted center opposition based learning is introduced to original social spider optimization to find the best-estimated location of nodes and improve the global searching ability....
