Weighted Approach for 3-D/2-D Localization Method in WSN using Fuzzy Modeling with Parameter Analysis

Wireless sensor network consists of a large number of sensor nodes. Determining the actual position of each sensor node is thus difficult. Finding the exact position of each sensor forms the basis of localization. Localization in wireless sensor network refers to finding position of unknown nodes based on position of known nodes known as anchors or reference nodes. This paper propose centroid localization method using edge weights of adjacent nodes based on fuzzy modeling for 3D environment. In proposed method neighboring adjacent anchor nodes that are near to unknown sensor node are detected first and then fuzzy membership functions for edge weights based on received signal strength is developed. After calculating edge weights, weighted centroid method is used to localize unknown node position in 3D environment. Results are then compared with weighted centroid approach for unknown sensor nodes in 2D environment for various combinations of reference nodes , unknown sensor nodes and received signal strength range.