Robust Region Based Localization for Practical Sensor Networks

Zhen Feng, Wei Liu, Kanru Xu, Wenqing Cheng

Abstract: Node localization is very important for wireless sensor networks. Traditional localization methods usually cannot perform well in practical sensor networks which are affected by several well-known factors, such as low node density, anisotropic deployment terrain, imprecise GPS node position and noisy range measurements. In this paper, we propose a robust region based localization approach which is able to naturally address these factors. An iterative and distributed implementation based on clustering is also given to provide scalability and energy efficiency.