An Improved DV-Hop Localization Algorithm for Wireless Sensor Networks

DOI

10.2991/icmeit-17.2017.45How to use a DOI?

Keywords

Wireless sensors networks, Localization, DBSCAN, Collinearity, DV-Hop.

Abstract

Considering the topology of real distance of the anchor node and the real trilateration composed of the unknown positioning node, an improved DV-Hop localization algorithm for wireless sensor networks was proposed. Firstly, unknown node will be measured by the trilateration-based triangle. Any of the three anchor nodes which meet collinear degree within a predetermined range, will be divided into one group. According to multiple groups of location estimation, finally by using clustering analysis, the result of the location could be optimized by selecting the largest cluster, removing the noise points and boundary points and leaving the core point with small errors. In the end, the unknown node estimation of location will be obtained.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chengping Peng
AU  - Guangcong Liu
PY  - 2017/05
DA  - 2017/05
TI  - An Improved DV-Hop Localization Algorithm for Wireless Sensor Networks
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 240
EP  - 244
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.45
DO  - 10.2991/icmeit-17.2017.45
ID  - Peng2017/05
ER  -