| Title |
Geospatial Sensor Web Resource Management System for Smart City: Design and Implementation |
| ID_Doc |
36182 |
| Authors |
Li, J; Chen, NC |
| Title |
Geospatial Sensor Web Resource Management System for Smart City: Design and Implementation |
| Year |
2014 |
| Published |
|
| DOI |
10.1109/CCGrid.2014.70 |
| Abstract |
It is a needful and challenging work to integratedly manage the massive, distributed and heterogeneous sensor resources for a cooperative observation task in smart city context, especially for the cooperative task of dynamic environment monitoring, timely emergency response and citizen safety guarantee. Regarding the heterogeneous sensor resources that immersed in the cities, there lacks an open and comprehensive platform for the management of this sensing infrastructure of the smart cities. In this paper, a Geospatial Sensor Web Resource Management System (Geo-SWRMS) is designed and implemented to tackle this issue. With the requirement investigation of the resources management of the Geospatial Sensor Web for the smart city, four main functions including resource modeling and registry, resource query and discovery, resource visualization and resource access and control are considered and implemented leveraging the standard Sensor Web Enablement information model and service interface of Open Geospatial Consortium. The proposed system is flexible, accommodating heterogeneous sensor resources and can be utilized in multiple application fields in the smart cities such as sensing resource management, cooperative observation task for emergency and so on. The Geo-SWRMS promotes the sharing and interoperability of the sensor resources, and facilitates to provide a solid information base for observing task scheduling and decision making in the smart city application. |
| Author Keywords |
Geospatial Sensor Web; resource management; OGC; visualization; cooperative observation; sensor modeling; smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000361021000101 |
| WoS Category |
Computer Science, Hardware & Architecture; Computer Science, Information Systems |
| Research Area |
Computer Science |
| PDF |
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