Adaptive Renewal Strategy Applied on HBA Solving WSNs Node Localization

As the development of Internet of Things (IoTs) since 1980s, Wireless sensor networks (WSNs) become more important and as well the node localization of WSNs. In this paper, a new node localization algorithm called IHBA-RDV-Hop is proposed. In IHBA, dynamic adjustment mechanism including counterbalance and mating is introduced to improve the population diversity and convergence. In counterbalance phase, individuals are grouped and compete with each other to eliminate similar individuals from the population. In mating phase, variation is used to get better offspring. Both the two methods are aim to improve population diversity and increase algorithm convergence ability respectively. In experimental stage, compare to PSODV-Hop, ISSADV-Hop and IGWODV-Hop, the average location error of IHAB-RDV-Hop is reduced by 56.1%,58.3% and 33.2% respectively.