| Title |
Autonomy-oriented proximity mobile social network modeling in smart city for emergency rescue |
| ID_Doc |
38944 |
| Authors |
Zhao, CX; Guo, JJ |
| Title |
Autonomy-oriented proximity mobile social network modeling in smart city for emergency rescue |
| Year |
2021 |
| Published |
International Journal Of Distributed Sensor Networks, 17, 12 |
| DOI |
10.1177/15501477211061252 |
| Abstract |
Nearest neighbor mobile social network means that movers approaching in position communicate through their social sensors, which is called Proximity Mobile Social Network. Proximity Mobile Social Network can provide more social and business opportunities for users. To carry out disaster relief work in post-disaster environment, we need to collect incident information during the search process and report to the sink in time. Proximity Mobile Social Network provides flexible systems for emergency handling and disaster relief. Therefore, how to find a better data forwarding and routing strategy is the key problem of post-disaster rescue, and the research of user mobility model is the basis of the above problems. This article presents an Autonomy-Oriented Proximity Mobile Social Network modeling for emergency rescue in smart city, which simulates the network operating environment. First, we verify the performance of Autonomy-Oriented Proximity Mobile Social Network model in terms of self-organization, scale-free, aggregation, and community structure. Then, the rescue efficiency is discussed through the coverage of mobile sensors. Finally, performance of the routing strategy based on Autonomy-Oriented Proximity Mobile Social Network model is analyzed, and the effectiveness of the method is proved. |
| Author Keywords |
Proximity mobile social network; social network of sensors; social network; mobility model; autonomy-oriented; emergency rescue |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000730602400001 |
| WoS Category |
Computer Science, Information Systems; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
https://doi.org/10.1177/15501477211061252
|