A Distributed Method for Localization in Large-Scale Sensor Networks Based on Graham's Scan
Localization is an important aspect in the field of wireless sensor networks that has attracted significant research interest recently. The interest in wireless sensor network localization is expected to grow further with the advances in the wireless communication techniques and the sensing techniques, and the consequent proliferation of wireless sensor network applications. This paper presents an improved localization algorithm with high accuracy in large-scale Sensor networks with a large number of sensor nodes based on the Graham's scan, called Slsng. the Graham's scan adapted here for the authors' approximation technique to determining the convex hull of a set of sensors used instead of the Grid-Scan method, to take into account the requirements in memory, to make it scalable and rapidly convergent with small location estimation error.