A novel DV-Hop method for localization of network nodes

According to the characteristics of WSN with mass nodes, a DV-Hop localization method improved by the shuffled frog leaping algorithm (SFLA) for WSNs was proposed in this paper. Considering the shortages of the traditional DV-hop localization algorithm, the calculation of average hop distance is improved, and the average hop distance can be calculated by SFLA, which can reduce the error of distance estimation for average hop and improve the localization accuracy of the algorithm. In addition, the localization error of unknown nodes is further reduced by the optimization process of nodes swap. The simulation results indicate that the improved DV-Hop algorithm can reduce the localization error and the degree of dependency for beacon nodes and network connectivity effectively.