Title
Dynamic topology management in flexible aerial-terrestrial networks for public safety
Abstract
This paper investigates dynamic topology management functionalities in the flexible deployment of a hybrid aerial-terrestrial cognitive cellular network for public safety in unexpected or temporary events. An evolutionary roll out and roll back of the network architecture in the disaster relief scenario is proposed under the assistant of topology management algorithm, in order to manage the number, location and time of aerial and terrestrial eNBs required by monitoring the user traffic at different phases of the disaster relief operation. Quality of Service (QoS) from user requirements or standards is used to intelligently manage the network topology, which effectively achieves a balance between the deployment cost/energy consumption and QoS/capacity. The results show that with topology management, the dynamic placement strategy based on traffic density significantly improves network QoS compared to fixed placement, and the dynamic deployment strategy based on QoS requirements substantially reduces the scale and power consumption of the network.
Year
DOI
Venue
2014
10.1109/CCS.2014.6933798
CCS
Keywords
Field
DocType
long term evolution,cellular radio,cognitive radio,emergency management,quality of service,telecommunication network management,telecommunication network topology,telecommunication traffic,aerial enb location management,aerial enb number management,aerial enb time management,cost consumption,disaster relief operation,dynamic placement strategy,dynamic topology management functionalities,energy consumption,evolutionary roll back,evolutionary roll out,flexible aerial-terrestrial networks,hybrid aerial-terrestrial cognitive cellular network,network qos improvement,network architecture,public safety,quality-of-service,terrestrial enb number management,terrestrial enb time management,terrrestrial enb location management,traffic density,user traffic monitoring,energy efficiency,qos,topology management,topology,mathematical model,network topology
Element management system,Computer science,Network architecture,Computer network,Quality of service,Network topology,Cellular network,Energy consumption,Network management application,Network management station
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
2
Name
Order
Citations
PageRank
Zhao, Q.121.71
Grace, D.2182.53