AN APPROACH TO LOCALIZATION IN WIRELESS SENSOR NETWORKS USING MULTIDIMENSIONAL SCALING AND DISTANCE VECTOR HOP

Abstract

In this paper we have exhibiting localization as vital issue in wireless sensor network that involves the union between sensor nodes so that localization can be able by the nodes themselves. In this context we have presented a unique combination of Multidimensional Scaling (MDS) localization which is centralized for mapping with Distance Vector (DV) algorithm. In MDS-MAP a local map is built at each node that is very adjacent then these maps are fused to form a global map. The Goal of MDS is to maintain the distance information and consequently network can be recreated in multidimensional space. MDS is partially range aware, when this is combined with DV Hop localization which is range free algorithm to calculate the average hop distance and average hop counts for better localization.