Fuzzy Logic-Based Approach for Location Identification and Routing in the Outdoor Environment
Finding the precise and accurate location of devices on road networks is challenging in remote areas with poor internet connectivity and Global Positioning System coverage. Navigation applications that completely depend on the internet and reference spatial data for location identification and mappi...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10163818/ |
| _version_ | 1797742996998848512 |
|---|---|
| author | Saravjeet Singh Jaiteg Singh Sukhjit Singh Sehra Babar Shah Farman Ali Daehan Kwak |
| author_facet | Saravjeet Singh Jaiteg Singh Sukhjit Singh Sehra Babar Shah Farman Ali Daehan Kwak |
| author_sort | Saravjeet Singh |
| collection | DOAJ |
| description | Finding the precise and accurate location of devices on road networks is challenging in remote areas with poor internet connectivity and Global Positioning System coverage. Navigation applications that completely depend on the internet and reference spatial data for location identification and mapping do not perform well in case of frequent internet disconnection. These reference spatial data sources have many associated challenges like large size, errors in data, and restricted access. To address these challenges, this paper provides an approach for localization and routing using self-generated reference data using likelihood estimation. According to the proposed approach, the trajectory information is used to create the reference data in the format of Comma Separated Values (CSV). This reference data is first analyzed for quality issues and then used for navigation purposes. Further for the localization Sugeno Fuzzy Model is used as a fuzzy inference system for the initial localization and subsequent mapping of the location. The proposed approach is validated using an Android application on seven predefined routes. According to the performed result analysis, the proposed fuzzy logic-based approach is able to provide location identification with 98.9 percent accuracy with a root mean square error value of 3 percent. |
| first_indexed | 2024-03-12T14:48:14Z |
| format | Article |
| id | doaj.art-d2e0b13e27cc47268c0155e8059c0498 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-12T14:48:14Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d2e0b13e27cc47268c0155e8059c04982023-08-15T23:00:20ZengIEEEIEEE Access2169-35362023-01-0111655176552910.1109/ACCESS.2023.328975610163818Fuzzy Logic-Based Approach for Location Identification and Routing in the Outdoor EnvironmentSaravjeet Singh0Jaiteg Singh1https://orcid.org/0000-0002-2370-9384Sukhjit Singh Sehra2https://orcid.org/0000-0001-9058-7869Babar Shah3https://orcid.org/0000-0002-5090-4695Farman Ali4https://orcid.org/0000-0002-9420-1588Daehan Kwak5https://orcid.org/0000-0001-5614-0190Chitkara University Institute of Engineering and Technology, Chitkara University, Chandigarh, Punjab, IndiaChitkara University Institute of Engineering and Technology, Chitkara University, Chandigarh, Punjab, IndiaDepartment of Physics and Computer Science, Wilfrid Laurier University, Waterloo, CanadaCollege of Technological Innovation, Zayed University, Dubai, United Arab EmiratesDepartment of Computer Science and Engineering, School of Convergence, College of Computing and Informatics, Sungkyunkwan University, Seoul, South KoreaDepartment of Computer Science and Technology, Kean University, Union, NJ, USAFinding the precise and accurate location of devices on road networks is challenging in remote areas with poor internet connectivity and Global Positioning System coverage. Navigation applications that completely depend on the internet and reference spatial data for location identification and mapping do not perform well in case of frequent internet disconnection. These reference spatial data sources have many associated challenges like large size, errors in data, and restricted access. To address these challenges, this paper provides an approach for localization and routing using self-generated reference data using likelihood estimation. According to the proposed approach, the trajectory information is used to create the reference data in the format of Comma Separated Values (CSV). This reference data is first analyzed for quality issues and then used for navigation purposes. Further for the localization Sugeno Fuzzy Model is used as a fuzzy inference system for the initial localization and subsequent mapping of the location. The proposed approach is validated using an Android application on seven predefined routes. According to the performed result analysis, the proposed fuzzy logic-based approach is able to provide location identification with 98.9 percent accuracy with a root mean square error value of 3 percent.https://ieeexplore.ieee.org/document/10163818/Localizationlocation informationmap errorsmap matchingreference mapresource optimization |
| spellingShingle | Saravjeet Singh Jaiteg Singh Sukhjit Singh Sehra Babar Shah Farman Ali Daehan Kwak Fuzzy Logic-Based Approach for Location Identification and Routing in the Outdoor Environment IEEE Access Localization location information map errors map matching reference map resource optimization |
| title | Fuzzy Logic-Based Approach for Location Identification and Routing in the Outdoor Environment |
| title_full | Fuzzy Logic-Based Approach for Location Identification and Routing in the Outdoor Environment |
| title_fullStr | Fuzzy Logic-Based Approach for Location Identification and Routing in the Outdoor Environment |
| title_full_unstemmed | Fuzzy Logic-Based Approach for Location Identification and Routing in the Outdoor Environment |
| title_short | Fuzzy Logic-Based Approach for Location Identification and Routing in the Outdoor Environment |
| title_sort | fuzzy logic based approach for location identification and routing in the outdoor environment |
| topic | Localization location information map errors map matching reference map resource optimization |
| url | https://ieeexplore.ieee.org/document/10163818/ |
| work_keys_str_mv | AT saravjeetsingh fuzzylogicbasedapproachforlocationidentificationandroutingintheoutdoorenvironment AT jaitegsingh fuzzylogicbasedapproachforlocationidentificationandroutingintheoutdoorenvironment AT sukhjitsinghsehra fuzzylogicbasedapproachforlocationidentificationandroutingintheoutdoorenvironment AT babarshah fuzzylogicbasedapproachforlocationidentificationandroutingintheoutdoorenvironment AT farmanali fuzzylogicbasedapproachforlocationidentificationandroutingintheoutdoorenvironment AT daehankwak fuzzylogicbasedapproachforlocationidentificationandroutingintheoutdoorenvironment |