In the various applications where the wireless sensor network (WSN) is deployed all the sensor nodes work collectively for a particular task. It is useful in various applications as in the military, medical, home related to monitoring human body activities also. As in WSN, sensors sense the environment and this sensing is not useful until the exact location of the sensor is not known. So in WSN, localization is an important task. Mainly, there are two types of algorithms that are available for localization, range based and free range. All of these algorithms are differentiated on the basis of one common factor that is the localization error. Under the range free localization approach most explored algorithm is a distance vector (DV) Hop. In this paper, a new distance error correction metric based algorithm is proposed to minimize the error that exists in the basic hop based algorithms. It has been implemented in MATLAB for the results verification and comparison. Moreover, the performance of the proposed algorithm is analyzed for various factors like the average localization error, error variance and accuracy in accordance to the parameters like the total node amount, the anchor node amount and range. Simulation results conclude that the proposed error correction based approach presented in this paper performed exceptionally well against the basic DV Hop, improved DV(IDV) Hop and particle swarm optimization based DV Hop and thus improves the overall localization process of the whole network.