| Title |
Event-Driven Distributed Information Resource-Focusing Service for Emergency Response in Smart City with Cyber-Physical Infrastructures |
| ID_Doc |
37712 |
| Authors |
Xiao, CJ; Chen, NC; Gong, JY; Wang, W; Hu, CB; Chen, ZQ |
| Title |
Event-Driven Distributed Information Resource-Focusing Service for Emergency Response in Smart City with Cyber-Physical Infrastructures |
| Year |
2017 |
| Published |
Isprs International Journal Of Geo-Information, 6.0, 8 |
| DOI |
10.3390/ijgi6080251 |
| Abstract |
The smart city has become a popular topic of investigation. How to focus large amounts of distributed information resources to efficiently cope with public emergencies and provide support for personalized decision-making is a vitally important issue in the construction of smart cities. In this paper, an event-driven focusing service (EDFS) method that uses cyber-physical infrastructures for emergency response in smart cities is proposed. The method consists of a focusing service model at the top level, an informational representation of the model and a focusing service process to operate the service model in emergency response. The focusing service method follows an event-driven mechanism that allows the focusing service process to be triggered by public emergencies sensed by wireless sensor networks (WSNs) and mobile crowd sensing, and it integrates the requirements of different societal entities with regard to response to emergencies and information resources, thereby providing comprehensive and personalized support for decision-making. Furthermore, an EDFS prototype system is designed and implemented based on the proposed method. An experiment using a real-world scenariothe gas leakage in August 2014 in Taiyuan, Chinais presented demonstrating the feasibility of the proposed method for assisting various societal entities in coping with and efficiently responding to public emergencies. |
| Author Keywords |
smart city; cyber-physical infrastructure; focusing service; geospatial information; mobile crowd sensing; event-driven mechanism; emergency response |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000408868400023 |
| WoS Category |
Computer Science, Information Systems; Geography, Physical; Remote Sensing |
| Research Area |
Computer Science; Physical Geography; Remote Sensing |
| PDF |
https://www.mdpi.com/2220-9964/6/8/251/pdf?version=1502786292
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