A low-cost localization algorithm for mobile sensor networks

Dar Wei Chiou; Guey Yun Chang; Jen Feng Huang

doi:10.3233/978-1-61499-484-8-1571

A low-cost localization algorithm for mobile sensor networks

Dar Wei Chiou, Guey Yun Chang, Jen Feng Huang

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Most of existing localization algorithms for mobile sensor networks are based on the Sequential Monte Carlo (SMC) method. SMC-based methods has either high localization error in low-anchor density environments or high computation cost. In this paper, we propose a low cost localization algorithm. Our idea comes from the observation that a sensor node which hears an another node for a sufficiently long time has trajectory similar to the heard anchor node's trajectory. Simulation shows that our algorithm has low localization error, and low computation cost.

Original language	English
Title of host publication	Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
Editors	William Cheng-Chung Chu, Stephen Jenn-Hwa Yang, Han-Chieh Chao
Publisher	IOS Press
Pages	1571-1579
Number of pages	9
ISBN (Electronic)	9781614994831
DOIs	https://doi.org/10.3233/978-1-61499-484-8-1571
State	Published - 2015
Event	International Computer Symposium, ICS 2014 - Taichung, Taiwan Duration: 12 Dec 2014 → 14 Dec 2014

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	274
ISSN (Print)	0922-6389

Conference

Conference	International Computer Symposium, ICS 2014
Country/Territory	Taiwan
City	Taichung
Period	12/12/14 → 14/12/14

Keywords

Localization
Mobile
Wireless Sensor Networks

Access to Document

10.3233/978-1-61499-484-8-1571

Cite this

Chiou, D. W., Chang, G. Y., & Huang, J. F. (2015). A low-cost localization algorithm for mobile sensor networks. In W. C-C. Chu, S. J-H. Yang, & H-C. Chao (Eds.), Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014 (pp. 1571-1579). (Frontiers in Artificial Intelligence and Applications; Vol. 274). IOS Press. https://doi.org/10.3233/978-1-61499-484-8-1571

Chiou, Dar Wei ; Chang, Guey Yun ; Huang, Jen Feng. / A low-cost localization algorithm for mobile sensor networks. Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. editor / William Cheng-Chung Chu ; Stephen Jenn-Hwa Yang ; Han-Chieh Chao. IOS Press, 2015. pp. 1571-1579 (Frontiers in Artificial Intelligence and Applications).

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title = "A low-cost localization algorithm for mobile sensor networks",

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Chiou, DW, Chang, GY & Huang, JF 2015, A low-cost localization algorithm for mobile sensor networks. in WC-C Chu, SJ-H Yang & H-C Chao (eds), Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. Frontiers in Artificial Intelligence and Applications, vol. 274, IOS Press, pp. 1571-1579, International Computer Symposium, ICS 2014, Taichung, Taiwan, 12/12/14. https://doi.org/10.3233/978-1-61499-484-8-1571

A low-cost localization algorithm for mobile sensor networks. / Chiou, Dar Wei; Chang, Guey Yun; Huang, Jen Feng.
Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. ed. / William Cheng-Chung Chu; Stephen Jenn-Hwa Yang; Han-Chieh Chao. IOS Press, 2015. p. 1571-1579 (Frontiers in Artificial Intelligence and Applications; Vol. 274).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Most of existing localization algorithms for mobile sensor networks are based on the Sequential Monte Carlo (SMC) method. SMC-based methods has either high localization error in low-anchor density environments or high computation cost. In this paper, we propose a low cost localization algorithm. Our idea comes from the observation that a sensor node which hears an another node for a sufficiently long time has trajectory similar to the heard anchor node's trajectory. Simulation shows that our algorithm has low localization error, and low computation cost.

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A low-cost localization algorithm for mobile sensor networks

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