Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)

Self-Positioning System and Algorithm in Wireless Sensor Networks

Authors
Ting Liu, Zhijun Shuai
Corresponding Author
Ting Liu
Available Online April 2018.
DOI
10.2991/iwmecs-18.2018.40How to use a DOI?
Keywords
wireless sensor network, self-localization, positioning
Abstract

Wireless Sensor Networks, a novel technology about acquiring and processing information, have been proposed for a multitude of diverse applications. The problem of self-localization, that is, determining where a given node is physically or relatively located in the networks, is a challenging one, and yet extremely crucial for many applications. In this paper, the evaluation criterion of the performance and the taxonomy for wireless sensor networks self-localization systems and algorithms are described, the principles and characteristics of recent representative localization approaches are discussed and presented, and the directions of research in this area are introduced.

Copyright
© 2018, 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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Volume Title
Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
Series
Advances in Computer Science Research
Publication Date
April 2018
ISBN
10.2991/iwmecs-18.2018.40
ISSN
2352-538X
DOI
10.2991/iwmecs-18.2018.40How to use a DOI?
Copyright
© 2018, 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  - Ting Liu
AU  - Zhijun Shuai
PY  - 2018/04
DA  - 2018/04
TI  - Self-Positioning System and Algorithm in Wireless Sensor Networks
BT  - Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
PB  - Atlantis Press
SP  - 181
EP  - 185
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-18.2018.40
DO  - 10.2991/iwmecs-18.2018.40
ID  - Liu2018/04
ER  -