Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

An Improved Algorithm for Dv-Hop Based on Hops Correction

Authors
Yujian Wang, Kaiguo Qian, Sunyan Hong, Chunfen Bu
Corresponding Author
Yujian Wang
Available Online March 2016.
DOI
10.2991/icmmct-16.2016.333How to use a DOI?
Keywords
Wireless sensor network (WSN); DV - Hop; Hops Correcting; Positioning error
Abstract

For the disadvantage which is larger positioning error, the RSSI signal strength is used to calculate the hops between the sensors which make it more close to the real network; Meanwhile, the hyperbolic method is adopted to improve the unknown node location which eliminates the cumulative error and improves the positioning accuracy. Simulation experiments show that the positioning error of improved algorithm is better than DV - Hop algorithm that reduced by 15% or so, and the best case, the positioning error decreases to 15%, meets the demand of sensor network localization accuracy.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
10.2991/icmmct-16.2016.333
ISSN
2352-5401
DOI
10.2991/icmmct-16.2016.333How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Yujian Wang
AU  - Kaiguo Qian
AU  - Sunyan Hong
AU  - Chunfen Bu
PY  - 2016/03
DA  - 2016/03
TI  - An Improved Algorithm for Dv-Hop Based on Hops Correction
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1670
EP  - 1676
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.333
DO  - 10.2991/icmmct-16.2016.333
ID  - Wang2016/03
ER  -