Abstract
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.
Highlights
Many aspects of social networks have been studied [1,2,3]
In this paper, based on network pricing and the rate of unascertained membership, we propose a wireless network based on network pricing and the rate of unascertained membership, we propose a wireless network access management scheme to lower the congestion rate, achieve load balance, and increase the access management scheme to lower the congestion rate, achieve load balance, and increase the network revenue
The user chooses the network that has the higher steady-state value, which reduces the integrated network load and keeps the network congestion rate below 50%
Summary
Many aspects of social networks have been studied [1,2,3]. To guarantee quality of service (QoS). Mostaani et al [6] presented a pricing scheme that can optimize resource management in cognitive radio networks. Proposed a heterogeneous wireless network resource management algorithm. The shortcoming of this was that the congestion rate was too high. Chanak et al [8] presented a fuzzy classification management scheme in a large-scale wireless sensor network Proposed an SC-FDMA uplink resource allocation scheme for the Papavassiliou investigation and classification in a wireless network In this scheme, the congestion rate and network load threshold were still unable to meet the actual environment requirements. The algorithms mentioned above have made significant achievements in improving wireless network performance by optimizing the resource management scheme.
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