Cluster-based Three-dimensional Localization Algorithm for Large Scale Wireless Sensor Networks

• DOI: 10.4304/jcp.4.7.585-592
• Publication Date: 2009-11-20T12:48:12Z
• Authors: Jian Shu; Ronglei Zhang; Linlan Liu; Zhenhua Wu; Zhiping Zhou
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

In wireless sensor networks, three-dimensional localization is important for applications. It becomes a challenge with the scale of network getting large. This paper proposes algorithm large WSN on basis cluster. Focusing MDS-based localization, it adopts cluster structure and global coordinate system to represent whole logically, reduces influence range measurement errors through decreasing probability multi-hop. With combination variable power nodes triangle principle, can be corrected. Through comparison three different computations in simulations, correction effects are presented. To address proposed algorithm, CBLALS, more convincible, CBLALS DV-Distance (3D) taken. The result shows that positioning accuracy much better than one (3D). increasing error, error varies gently, could controlled within 55% while 30%.