iNav Indoor Positioning and Navigation System

1
S.L.Wickramarachchi
S.L.Wickramarachchi
2
W.O.N.Fernando
W.O.N.Fernando
3
M.H. Dulaj Dilrukshan Appuhamy
M.H. Dulaj Dilrukshan Appuhamy
4
B. Gowtham
B. Gowtham
5
Jeewan Chinthika
Jeewan Chinthika

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Getting a pin-point accurate location is a difficult task and prone to many errors, thus providing a wrong location. Existing GPS Based Location service has proved to be moderately reliable, but it is not the same when considering indoor wise location. Getting an indoor location inside a building is harder than ever since due the signal barriers and narrow range. In this article a system for Indoor Positioning and Navigating with customized maps is presented. This will make the users to get to know the location very quickly and easily. It will be more applicable for the Government Departments where it is difficult to find a proper location. The RSSI of the wireless access points will be used to triangulate the location.

9 Cites in Articles

References

  1. Bangjiang Lin,Xuan Tang,Zabih Ghassemlooy,Chun Lin,Yiwei Li (2017). Experimental Demonstration of an Indoor VLC Positioning System Based on OFDMA.
  2. Xueli Zhang,Jingyuan Duan,Yuegang Fu,Ancun Shi (2014). Theoretical Accuracy Analysis of Indoor Visible Light Communication Positioning System Based on Received Signal Strength Indicator.
  3. S Feldmann,K Kyamakya,A Zapater,Z Lue (2003). An Indoor Bluetooth-Based Positioning System: Concept, Implementation and Experimental Evaluation.
  4. C Kenneth,S Intille (2018). Unknown Title.
  5. Qiyue Li,Wei Li,Wei Sun,Jie Li,Zhi Liu (2016). Fingerprint and Assistant Nodes Based Wi-Fi Localization in Complex Indoor Environment.
  6. R Safna,E Manoshantha,S Suraweera,M Dissanayake (2015). Optimization of Wireless Pathloss Model Jtc for Access Point Placement in Wireless Local Area Network.
  7. K Bannister,G Giorgetti,S Gupta,K Bannister,G Giorgetti (2018). Massive Data Collection Using Wireless Sensor Networks.
  8. Jungwook Lee,Kwangsue Chung (2011). An Efficient Transmission Power Control Scheme for Temperature Variation in Wireless Sensor Networks.
  9. Y Fukuju,M Minami,H Morikawa,T Aoyama (2018). DOLPHIN: an autonomous indoor positioning system in ubiquitous computing environment.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

S.L.Wickramarachchi. 2018. \u201ciNav Indoor Positioning and Navigation System\u201d. Global Journal of Computer Science and Technology - A: Hardware & Computation GJCST-A Volume 18 (GJCST Volume 18 Issue A1): .

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GJCST Volume 18 Issue A1
Pg. 13- 18
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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-A Classification: H.5.4
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v1.2

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December 24, 2018

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English

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The methods for personal identification and authentication are no exception.

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Getting a pin-point accurate location is a difficult task and prone to many errors, thus providing a wrong location. Existing GPS Based Location service has proved to be moderately reliable, but it is not the same when considering indoor wise location. Getting an indoor location inside a building is harder than ever since due the signal barriers and narrow range. In this article a system for Indoor Positioning and Navigating with customized maps is presented. This will make the users to get to know the location very quickly and easily. It will be more applicable for the Government Departments where it is difficult to find a proper location. The RSSI of the wireless access points will be used to triangulate the location.

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iNav Indoor Positioning and Navigation System

S.L.Wickramarachchi
S.L.Wickramarachchi
W.O.N.Fernando
W.O.N.Fernando
M.H. Dulaj Dilrukshan Appuhamy
M.H. Dulaj Dilrukshan Appuhamy
B. Gowtham
B. Gowtham
Jeewan Chinthika
Jeewan Chinthika

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