Localization for Wireless Sensor Networks with Improved Dv-Hop and Spring-Model Refinement

Wireless sensor network (WSN) is a key enabling technology for ambient intelligence, where localization of sensor nodes is a fundamental and essential issue. Aiming at localization deficiency of DV-Based algorithm which are caused by the shortest path distance substituting for Euclidean distance, combing the advantages of error inhibition of MSO (mass-spring model), in this paper we propose a DV-MSO localization algorithm, which not restrains the localization error of DV-Hop algorithm, but also overcomes the defect of MSO algorithm that it is easy to fall into local optimum. Simulation results demonstrate that the localization error of unknown nodes is reduced greatly by the proposed method.