Indoor positioning techniques using RSSI from wireless networks
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
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| Språk: | English |
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Brac University
2021
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| Länkar: | http://hdl.handle.net/10361/15628 |
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10361-15628 |
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10361-156282022-01-26T10:08:22Z Indoor positioning techniques using RSSI from wireless networks Sohan, Asif Ahmed Fairooz, Fabiha Rahman, Adham Ibrahim Ali, Mohammad Chakrabarty, Amitabha Department of Computer Science and Engineering, Brac University Indoor positioning WiFi RSSI Trilateration ITU Wireless sensor networks. Indoor positioning systems (Wireless localization) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (pages 25-26). The whole world is familiar with the Global Positioning System or GPS which can identify the exact position of any object with the help of satellites. Yet GPS signals are not available indoors. To overcome this, Indoor Positioning System(IPS) is used which enables us to locate objects inside an indoor environment. Our goal is to build an Indoor Positioning System by estimating the location using Received Signal Strength Indication (RSSI) through wireless networks. The proposed model will determine the position of wireless devices in a room. We took the RSSI values as coordinates and speci c reference points at every two meters making the room into a grid. The RSSI values on the reference point are measured. The position of the wireless devices will be estimated from the reference points using the trilateration method and the ITU indoor path loss model. With the aforementioned process, we calculated the position using the ITU indoor path loss model and trilateration. Using the ITU indoor path loss model our mean error was 1.01166m and while using trilateration it was 1.22m. Asif Ahmed Sohan Fabiha Fairooz Adham Ibrahim Rahman Mohammad Ali B. Computer Science 2021-11-21T04:51:31Z 2021-11-21T04:51:31Z 2019 2019-08 Thesis ID 15301072 ID 15301061 ID 15301091 ID 15301054 http://hdl.handle.net/10361/15628 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. 26 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Indoor positioning WiFi RSSI Trilateration ITU Wireless sensor networks. Indoor positioning systems (Wireless localization) |
| spellingShingle |
Indoor positioning WiFi RSSI Trilateration ITU Wireless sensor networks. Indoor positioning systems (Wireless localization) Sohan, Asif Ahmed Fairooz, Fabiha Rahman, Adham Ibrahim Ali, Mohammad Indoor positioning techniques using RSSI from wireless networks |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. |
| author2 |
Chakrabarty, Amitabha |
| author_facet |
Chakrabarty, Amitabha Sohan, Asif Ahmed Fairooz, Fabiha Rahman, Adham Ibrahim Ali, Mohammad |
| format |
Thesis |
| author |
Sohan, Asif Ahmed Fairooz, Fabiha Rahman, Adham Ibrahim Ali, Mohammad |
| author_sort |
Sohan, Asif Ahmed |
| title |
Indoor positioning techniques using RSSI from wireless networks |
| title_short |
Indoor positioning techniques using RSSI from wireless networks |
| title_full |
Indoor positioning techniques using RSSI from wireless networks |
| title_fullStr |
Indoor positioning techniques using RSSI from wireless networks |
| title_full_unstemmed |
Indoor positioning techniques using RSSI from wireless networks |
| title_sort |
indoor positioning techniques using rssi from wireless networks |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://hdl.handle.net/10361/15628 |
| work_keys_str_mv |
AT sohanasifahmed indoorpositioningtechniquesusingrssifromwirelessnetworks AT fairoozfabiha indoorpositioningtechniquesusingrssifromwirelessnetworks AT rahmanadhamibrahim indoorpositioningtechniquesusingrssifromwirelessnetworks AT alimohammad indoorpositioningtechniquesusingrssifromwirelessnetworks |
| _version_ |
1814307486949179392 |