Modeling and Analyzing Urban Sensor Network Connectivity Based on Open Data
The optimization of network topology is crucial to achieve efficient data transmission in wireless sensor networks. Recently it has been proven that emerging open data sources can be used for modeling the structures of heterogeneous urban sensor networks. With this, leveraging real location data of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/23/9559 |
| _version_ | 1797399547046002688 |
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| author | Bartosz Musznicki Maciej Piechowiak Piotr Zwierzykowski |
| author_facet | Bartosz Musznicki Maciej Piechowiak Piotr Zwierzykowski |
| author_sort | Bartosz Musznicki |
| collection | DOAJ |
| description | The optimization of network topology is crucial to achieve efficient data transmission in wireless sensor networks. Recently it has been proven that emerging open data sources can be used for modeling the structures of heterogeneous urban sensor networks. With this, leveraging real location data of various networked and sensing devices became feasible and essential. This approach enables the construction and analysis of more accurate representations based on frequently updated actual network infrastructure topology data, as opposed to using synthetic models or test environments. The presented modeling method serves as the basis for the designed architecture and implemented research environment. This paper introduces a set of algorithms which transform devices’ location data into graph-based wireless network connectivity models. Each algorithm is thoroughly discussed and evaluated. Moreover, static (momentary) and dynamic (time-spanning) network topologies are constructed in four large Polish cities based on publicly available data. Multidimensional simulation-based analysis is conducted to investigate the characteristics of the modeled structures. Directions for further research are suggested as well. |
| first_indexed | 2024-03-09T01:41:46Z |
| format | Article |
| id | doaj.art-1c5eb82a9c5549d3af1c60e1bca7bb1b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T01:41:46Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1c5eb82a9c5549d3af1c60e1bca7bb1b2023-12-08T15:26:25ZengMDPI AGSensors1424-82202023-12-012323955910.3390/s23239559Modeling and Analyzing Urban Sensor Network Connectivity Based on Open DataBartosz Musznicki0Maciej Piechowiak1Piotr Zwierzykowski2Institute of Computer and Communication Networks, Faculty of Computing and Telecommunications, Poznań University of Technology, 60-965 Poznań, PolandDepartment of Computer Science, Kazimierz Wielki University, 85-064 Bydgoszcz, PolandInstitute of Computer and Communication Networks, Faculty of Computing and Telecommunications, Poznań University of Technology, 60-965 Poznań, PolandThe optimization of network topology is crucial to achieve efficient data transmission in wireless sensor networks. Recently it has been proven that emerging open data sources can be used for modeling the structures of heterogeneous urban sensor networks. With this, leveraging real location data of various networked and sensing devices became feasible and essential. This approach enables the construction and analysis of more accurate representations based on frequently updated actual network infrastructure topology data, as opposed to using synthetic models or test environments. The presented modeling method serves as the basis for the designed architecture and implemented research environment. This paper introduces a set of algorithms which transform devices’ location data into graph-based wireless network connectivity models. Each algorithm is thoroughly discussed and evaluated. Moreover, static (momentary) and dynamic (time-spanning) network topologies are constructed in four large Polish cities based on publicly available data. Multidimensional simulation-based analysis is conducted to investigate the characteristics of the modeled structures. Directions for further research are suggested as well.https://www.mdpi.com/1424-8220/23/23/9559urban sensor networksopen datagraph modelingconnectivity analyzing |
| spellingShingle | Bartosz Musznicki Maciej Piechowiak Piotr Zwierzykowski Modeling and Analyzing Urban Sensor Network Connectivity Based on Open Data Sensors urban sensor networks open data graph modeling connectivity analyzing |
| title | Modeling and Analyzing Urban Sensor Network Connectivity Based on Open Data |
| title_full | Modeling and Analyzing Urban Sensor Network Connectivity Based on Open Data |
| title_fullStr | Modeling and Analyzing Urban Sensor Network Connectivity Based on Open Data |
| title_full_unstemmed | Modeling and Analyzing Urban Sensor Network Connectivity Based on Open Data |
| title_short | Modeling and Analyzing Urban Sensor Network Connectivity Based on Open Data |
| title_sort | modeling and analyzing urban sensor network connectivity based on open data |
| topic | urban sensor networks open data graph modeling connectivity analyzing |
| url | https://www.mdpi.com/1424-8220/23/23/9559 |
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