An NDN based indoor positioning and navigation system
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
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| Γλώσσα: | English |
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Brac University
2020
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| Διαθέσιμο Online: | http://hdl.handle.net/10361/13836 |
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10361-13836 |
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10361-138362022-01-26T10:18:19Z An NDN based indoor positioning and navigation system Taki, Sifat Ut Hossain, Raiyan Anwar, Sadia Chakrabarty, Amitabha Department of Computer Science and Engineering, Brac University Indoor positioning Indoor localization Indoor navigation Named Data Networking RSSI Fingerprinting Wireless communication systems This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 53-57). Providing navigation services indoor is becoming a growing trend in recent years. Traditional GPS is not a viable solution for indoor use as it demands more accuracy and may be out of reach of GPS signals. Indoor positioning can be implmented using a variety of localized techniques that are not reliant on GPS. Among all the techniques, Wi-Fi RSSI ngerprinting based indoor positioning is very popular for its accuracy, reliability and ability to use the existing Wi-Fi infrastructure of a building. Large areas like shopping complexes, airports, universities, etc. already have an existing Wi-Fi network deployed. Making use of an existing network makes this technique cost e ective and easy to implement. However, a large indoor area with multiple oors will require a large database of Wi-Fi ngerprint data. The performance of the localization and navigation algorithms su er greatly due to this large database, both due to time requirements and computational complexity. This paper focuses on improving the performance of Wi-Fi RSSI ngerprinting based indoor positioning and navigation systems in large areas by making use of named data networking as the network architecture. We aim to demonstrate how named data networking can help improve the performance of both indoor localization and indoor navigation in various scenarios over traditional TCP/IP based solutions. Sifat Ut Taki Raiyan Hossain Sadia Anwar B. Computer Science 2020-03-08T06:14:44Z 2020-03-08T06:14:44Z 2019 2019-12 Thesis ID 16101064 ID 16101331 ID 17201041 http://hdl.handle.net/10361/13836 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 57 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Indoor positioning Indoor localization Indoor navigation Named Data Networking RSSI Fingerprinting Wireless communication systems |
| spellingShingle |
Indoor positioning Indoor localization Indoor navigation Named Data Networking RSSI Fingerprinting Wireless communication systems Taki, Sifat Ut Hossain, Raiyan Anwar, Sadia An NDN based indoor positioning and navigation system |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019. |
| author2 |
Chakrabarty, Amitabha |
| author_facet |
Chakrabarty, Amitabha Taki, Sifat Ut Hossain, Raiyan Anwar, Sadia |
| format |
Thesis |
| author |
Taki, Sifat Ut Hossain, Raiyan Anwar, Sadia |
| author_sort |
Taki, Sifat Ut |
| title |
An NDN based indoor positioning and navigation system |
| title_short |
An NDN based indoor positioning and navigation system |
| title_full |
An NDN based indoor positioning and navigation system |
| title_fullStr |
An NDN based indoor positioning and navigation system |
| title_full_unstemmed |
An NDN based indoor positioning and navigation system |
| title_sort |
ndn based indoor positioning and navigation system |
| publisher |
Brac University |
| publishDate |
2020 |
| url |
http://hdl.handle.net/10361/13836 |
| work_keys_str_mv |
AT takisifatut anndnbasedindoorpositioningandnavigationsystem AT hossainraiyan anndnbasedindoorpositioningandnavigationsystem AT anwarsadia anndnbasedindoorpositioningandnavigationsystem AT takisifatut ndnbasedindoorpositioningandnavigationsystem AT hossainraiyan ndnbasedindoorpositioningandnavigationsystem AT anwarsadia ndnbasedindoorpositioningandnavigationsystem |
| _version_ |
1814308750807269376 |