Paper Info
Title
Crowdsourcing-based mobile network tomography for xG wireless systems
Abstract
Network size and number of mobile users are ever-increasing with the advancements in cellular network technologies. Hence, this situation makes the network monitoring highly complex. Although there are numerous network tomography approaches, service providers need real-time network monitoring tools to provide better network utilization. In this paper, we propose a crowdsourcing-based real-time network tomography framework. In the proposed framework, channel condition and user data usage are monitored via an application at the mobile terminals, and then the mobile terminals transmit their data to the server. In this way, the network and user behavior can be continuously monitored, and real-time actions can be implemented to improve the network performance. By using the proposed framework, we propose an optimization framework for the amount and reporting frequency of the transmitted data to avoid battery drain at the mobile terminal and network congestion. At the end, we provide simulation results for the proposed optimization framework.
Year
DOI
Venue
2016
10.1109/ISCC.2016.7543764
2016 IEEE Symposium on Computers and Communication (ISCC)
Keywords
Field
DocType
Crowdsourcing,Network Tomography,Wireless Systems,Network Management
Computer science,Public land mobile network,Network architecture,Computer network,Wireless WAN,Network monitoring,Network management,Radio access network,Intelligent computer network,Distributed computing,Network management station
Conference
ISBN
Citations 
PageRank 
978-1-5090-0680-9
0
0.34
References 
Authors
5
5
Name
Order
Citations
PageRank
ergin dinc1528.00
Mustafa Ozger2686.80
Ahmet F. Ates360.84
Ibrahim Delibalta496.56
Özgür B. Akan52519207.62