## Reliable anchor node based range-free localization algorithm in anisotropic wireless sensor networks

The International Conference on Information Networking 2014 (ICOIN2014) (2013)

Bangkok Thailand

Jan. 28, 2013 to Jan. 30, 2013

ISSN: 1976-7684

ISBN: 978-1-4673-5740-1

pp: 618-622

Hyunjae Woo , Sch. of Electr. & Comput. Eng., Ajou Univ., Suwon, South Korea

Chaewoo Lee , Sch. of Electr. & Comput. Eng., Ajou Univ., Suwon, South Korea

Seongkeun Oh , Sch. of Electr. & Comput. Eng., Ajou Univ., Suwon, South Korea

ABSTRACT

In the wireless sensor networks, location based applications require an accurate localization algorithm. To estimate location, each normal node, which do not know its own location, uses estimated distances to anchor nodes which have their own location. Hence, the estimation of distance is a key issue in the wireless sensor networks localization. Most previous works assume isotropic networks where approximate the shortest path distances to the Euclidian distances. These approaches cannot obtain accurate distance estimations in anisotropic networks where the shortest path distances are not linearly proportion to the Euclidian distances. In the anisotropic networks, the shortest path between two nodes may be detoured and its length may be estimated much larger than the corresponding Euclidean distance. Because of the phenomenon, it is important to select reliable anchor nodes which offer the precisely estimated distance. In this paper, we propose a reliable anchor node selection algorithm in the anisotropic networks. Each normal node selects the three anchor nodes with Triangular rule to enhance localization accuracy in the proposed algorithm. We also show that our scheme is reasonable through mathematical observation.

INDEX TERMS

Reliability, Wireless sensor networks, Accuracy, Topology, Maximum likelihood estimation, Mathematical model,Reliable anchor, Localization, Range-fere, Isotropoic, Anisotropic

CITATION

Hyunjae Woo,
Chaewoo Lee,
Seongkeun Oh,
"Reliable anchor node based range-free localization algorithm in anisotropic wireless sensor networks",

*The International Conference on Information Networking 2014 (ICOIN2014)*, vol. 00, no. , pp. 618-622, 2013, doi:10.1109/ICOIN.2013.6496697