TLBO Based Node Localization using Varying Anchor Range in Wireless Sensor Networks
This paper presents a distributed range free node localization approach in wireless sensor networks (WSN) named as Localization using Varying Anchor Range based on Teaching Learning Based Optimization (LVAR-TLBO) algorithm. In LVAR-TLBO, connectivity between nodes, dynamic range of anchor nodes and principle of perpendicular bisector are used to determine the location of nodes. Each anchor transmits the beacon packets at three different range levels which contains the respective anchor ID with their location and range level information. Based on this information, a normal node can determine the region where it lies. The final position of the node is estimated by determining the centre point of the overlapping region through perpendicular bisector technique. The concept of collinearity is introduced in this paper to reduce location errors caused by anchor nodes which are collinear. TLBO is used to enhance the localization accuracy, which is parameter free efficient optimization technique. LVAR-TLBO is also energy efficient as it doesn’t need to exchange information between neighbouring nodes for location estimation. Analysis and simulation results show the superiority of LVAR-TLBO compared to other existing range free algorithms.
Keywords: Range Free Localization, Varying Anchor Range, Perpendicular Bisector, TLBO, Correction Factor, WSN