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Sensors 2018, 18(2), 664; doi:10.3390/s18020664

User Access Management Based on Network Pricing for Social Network Applications

School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing 100083, China
ABB Corporate Research, Forskargränd 7, SE-721 78 Västerås, Sweden
School of Mechanical Engineering, University of Science and Technology Beijing(USTB), Beijing 100083, China
Author to whom correspondence should be addressed.
Received: 20 December 2017 / Revised: 30 January 2018 / Accepted: 13 February 2018 / Published: 24 February 2018
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Social applications play a very important role in people’s lives, as users communicate with each other through social networks on a daily basis. This presents a challenge: How does one receive high-quality service from social networks at a low cost? Users can access different kinds of wireless networks from various locations. This paper proposes a user access management strategy based on network pricing such that networks can increase its income and improve service quality. Firstly, network price is treated as an optimizing access parameter, and an unascertained membership algorithm is used to make pricing decisions. Secondly, network price is adjusted dynamically in real time according to network load. Finally, selecting a network is managed and controlled in terms of the market economy. Simulation results show that the proposed scheme can effectively balance network load, reduce network congestion, improve the user's quality of service (QoS) requirements, and increase the network’s income. View Full-Text
Keywords: resource management; network pricing; unascertained membership degree resource management; network pricing; unascertained membership degree

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Lin, F.; Pang, Z.; Ma, X.; Gu, Q. User Access Management Based on Network Pricing for Social Network Applications. Sensors 2018, 18, 664.

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