Smart City Gnosys
Smart city article details
| Title | Geospatial Sensor Web Adaptor For Integrating Diverse Internet Of Things Protocols Within Smart City |
|---|---|
| ID_Doc | 27991 |
| Authors | Chen D.; Zhang X.; Chen N.; Yang J.; Gong J. |
| Year | 2020 |
| Published | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 5, 4 |
| DOI | http://dx.doi.org/10.5194/isprs-Annals-V-4-2020-115-2020 |
| Abstract | In recent years, the multi-scale comprehensive perception is central to smart city development. We propose an "adaptor"for geospatial sensor web as an integrated sensory system that can integrate access to geodetic equipment based on the Internet of Things technology with multiple platforms and protocols. At the same time, the acquisition, fusion, and processing of sensory resources can perform. The geospatial adaptor can access and process sensors of different IoT protocols to different conditions simultaneously. Grace to this geospatial adaptor, a considerable number of the sensor based on IoT in the community, can achieve distributed access, ensuring the better robustness of the geospatial sensor web. This paper describes the system architecture of the geospatial sensor web adapter. Furthermore, from the perspective of protocol access, it introduces the access capabilities of geospatial sensor web adapter to the standard IoT interface protocols. By comparing the geospatial sensor web adapter with traditional observation methods by experiments and acquisition of test data. The results show that the geospatial sensor web adapter can achieve powerful access capabilities and network stability, and it is a better solution for heterogeneous sensing platform access in smart cities. © Copyright: |
| Author Keywords | Distributed system; Geospatial; Integrated management; IoT; Sensor Web; Smart city; Wireless communication |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
27992  | 0.89 | Li, J; Chen, NC | Geospatial Sensor Web Resource Management System For Smart City: Design And Implementation | 2014 14TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID) (2014) |
| 14832 | 0.875 | Mitton N.; Papavassiliou S.; Puliafito A.; Trivedi K.S. | Combining Cloud And Sensors In A Smart City Environment | Eurasip Journal on Wireless Communications and Networking, 2012, 1 (2012) |
| 5298 | 0.873 | Yang F.; Hua Y.; Li X.; Yang Z.; Yu X.; Fei T. | A Survey On Multisource Heterogeneous Urban Sensor Access And Data Management Technologies | Measurement: Sensors, 19 (2022) |
| 57689 | 0.861 | An, J; Le Gall, F; Kim, J; Yun, J; Hwang, J; Bauer, M; Zhao, MX; Song, AES | Toward Global Iot-Enabled Smart Cities Interworking Using Adaptive Semantic Adapter | IEEE INTERNET OF THINGS JOURNAL, 6, 3 (2019) |
| 14138 | 0.853 | Wang M.; Perera C.; Jayaraman P.P.; Zhang M.; Strazdins P.; Shyamsundar R.K.; Ranjan R. | City Data Fusion: Sensor Data Fusion In The Internet Of Things | The Internet of Things: Breakthroughs in Research and Practice (2017) |
| 20590 | 0.851 | Poza-Lujan, JL; Posadas-Yagüe, JL; Simó-Ten, JE; Blanes, F | Distributed Architecture To Integrate Sensor Information: Object Recognition For Smart Cities | SENSORS, 20, 1 (2020) |