Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

The Study of RSSI in Wireless Sensor Networks

Authors
Jungang Zheng, Yue Liu, Xufeng Fan, Feng Li
Corresponding Author
Jungang Zheng
Available Online November 2016.
DOI
10.2991/aiie-16.2016.48How to use a DOI?
Keywords
wireless sensor network; RSSI model; distance estimation; node
Abstract

Localization estimation of sensor node is a key component in many sensor networks' applications. Correct localization is required for WSN applications, but it is often expensive to include GPS adapters in each sensor node. The RSSI ranged-based localization algorithm is a simple and cost effective localization technology that relies on measuring the Receive Signal Strength Indicator(RSSI) for distance estimation. In this paper, we present experimental results that are carried out to analyze the RSSI model parameter. The least-square linear has been to determine the RSSI model parameter. The results of this study reveal the feasibility and accuracy of RSSI measurement.

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/).

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Volume Title
Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-271-8
ISSN
1951-6851
DOI
10.2991/aiie-16.2016.48How 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  - Jungang Zheng
AU  - Yue Liu
AU  - Xufeng Fan
AU  - Feng Li
PY  - 2016/11
DA  - 2016/11
TI  - The Study of RSSI in Wireless Sensor Networks
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 207
EP  - 209
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.48
DO  - 10.2991/aiie-16.2016.48
ID  - Zheng2016/11
ER  -