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Hop-Distance Algorithm for Self-Localization of Wireless Sensor Networks
Haier International Training Center, Qingdao, China July 30-August 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.506Eighth ACIS International Conference ...
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Dali Zhao, Yunhui Men, Linliang Zhao, "Hop-Distance Algorithm for Self-Localization of Wireless Sensor Networks," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 2, pp. 108-112, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
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@article{ 10.1109/SNPD.2007.506,
author = {Dali Zhao and Yunhui Men and Linliang Zhao},
title = {Hop-Distance Algorithm for Self-Localization of Wireless Sensor Networks},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {2},
year = {2007},
isbn = {0-7695-2909-7},
pages = {108-112},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.506},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - Hop-Distance Algorithm for Self-Localization of Wireless Sensor Networks
SN - 0-7695-2909-7
SP108
EP112
A1 - Dali Zhao,
A1 - Yunhui Men,
A1 - Linliang Zhao,
PY - 2007
KW - Wireless sensor network
KW - Self localization
KW - Hop-distance.
VL - 2
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Dali Zhao, Northeastern University, China
Yunhui Men, Northeastern University, China
Linliang Zhao, Northeastern University, China
In wireless sensor networks, it is difficult yet important to locate the sensor nodes. Self-localization algorithm of sensor nodes can be used in both military and civil applications. A low-cost and practical approach is proposed in this paper. The hop-distance algorithm is based on RSSI (Received Signal Strength Indicator), geometry and most likelihood estimation. Simulations show that average position error is about 20% of the radio range of the nodes in a scenario where the average ranging error is 10% and 10% of the nodes are anchor nodes.
Index Terms:
Wireless sensor network, Self localization, Hop-distance.
Citation:
Dali Zhao, Yunhui Men, Linliang Zhao, "Hop-Distance Algorithm for Self-Localization of Wireless Sensor Networks," snpd, vol. 2, pp.108-112, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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