A green positioning algorithm for Campus Guidance System

Chi-Hua Chen; Bon-Yeh Lin; Chun-Hao Lin; Yen-Szu Liu; Chi-Chun Lo

doi:10.1504/IJMC.2012.045669

A green positioning algorithm for Campus Guidance System

Chi-Hua Chen^*, Bon-Yeh Lin, Chun-Hao Lin, Yen-Szu Liu, Chi-Chun Lo

^*Corresponding author for this work

Institute of Information Management

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

In this paper, we propose a new CGS, called the Green Campus Guidance System (GCGS). The GCGS employs the Fingerprint Position Algorithm (FPA) using Received Signal Strength (RSS) from mobile stations/user equipment through cellular networks and Location-Based Services (LBSs) for user reference. In experiments, the results show that the error of location estimation using FPA is about 9.92 m. As to power consumption, the cost per sample of GPS is 27.68 times of that of FPA. Consequently, the FPA exerts itself as a green positioning algorithm, and thus can be used to support GCGS.

Original language	English
Pages (from-to)	119-131
Journal	International Journal of Mobile Communications
Volume	10
Issue number	2
DOIs	https://doi.org/10.1504/IJMC.2012.045669
State	Published - 2012

Keywords

mobile communication; location service; LBSs; location-based service; location determination; cellular network; RSS; received signal strength; fingerprint positioning; CGS; campus guidance system; web services; green computing

Access to Document

10.1504/IJMC.2012.045669

Cite this

@article{03ff670427d04529bc86085426f4ae49,

title = "A green positioning algorithm for Campus Guidance System",

abstract = "In this paper, we propose a new CGS, called the Green Campus Guidance System (GCGS). The GCGS employs the Fingerprint Position Algorithm (FPA) using Received Signal Strength (RSS) from mobile stations/user equipment through cellular networks and Location-Based Services (LBSs) for user reference. In experiments, the results show that the error of location estimation using FPA is about 9.92 m. As to power consumption, the cost per sample of GPS is 27.68 times of that of FPA. Consequently, the FPA exerts itself as a green positioning algorithm, and thus can be used to support GCGS.",

keywords = "mobile communication; location service; LBSs; location-based service; location determination; cellular network; RSS; received signal strength; fingerprint positioning; CGS; campus guidance system; web services; green computing",

author = "Chi-Hua Chen and Bon-Yeh Lin and Chun-Hao Lin and Yen-Szu Liu and Chi-Chun Lo",

year = "2012",

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pages = "119--131",

journal = "International Journal of Mobile Communications",

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TY - JOUR

T1 - A green positioning algorithm for Campus Guidance System

AU - Chen, Chi-Hua

AU - Lin, Bon-Yeh

AU - Lin, Chun-Hao

AU - Liu, Yen-Szu

AU - Lo, Chi-Chun

PY - 2012

Y1 - 2012

N2 - In this paper, we propose a new CGS, called the Green Campus Guidance System (GCGS). The GCGS employs the Fingerprint Position Algorithm (FPA) using Received Signal Strength (RSS) from mobile stations/user equipment through cellular networks and Location-Based Services (LBSs) for user reference. In experiments, the results show that the error of location estimation using FPA is about 9.92 m. As to power consumption, the cost per sample of GPS is 27.68 times of that of FPA. Consequently, the FPA exerts itself as a green positioning algorithm, and thus can be used to support GCGS.

AB - In this paper, we propose a new CGS, called the Green Campus Guidance System (GCGS). The GCGS employs the Fingerprint Position Algorithm (FPA) using Received Signal Strength (RSS) from mobile stations/user equipment through cellular networks and Location-Based Services (LBSs) for user reference. In experiments, the results show that the error of location estimation using FPA is about 9.92 m. As to power consumption, the cost per sample of GPS is 27.68 times of that of FPA. Consequently, the FPA exerts itself as a green positioning algorithm, and thus can be used to support GCGS.

KW - mobile communication; location service; LBSs; location-based service; location determination; cellular network; RSS; received signal strength; fingerprint positioning; CGS; campus guidance system; web services; green computing

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VL - 10

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EP - 131

JO - International Journal of Mobile Communications

JF - International Journal of Mobile Communications

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