Lin Fuhong, Pang Zhibo, Ma Xingmin, Gu Qing
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.
Sensors (Basel). 2018 Feb 24;18(2):664. doi: 10.3390/s18020664.
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.
社交应用在人们的生活中扮演着非常重要的角色,因为用户每天都通过社交网络相互交流。这带来了一个挑战:如何以低成本从社交网络获得高质量的服务?用户可以在不同地点接入不同类型的无线网络。本文提出了一种基于网络定价的用户接入管理策略,以使网络能够增加收入并提高服务质量。首先,将网络价格视为优化接入参数,并使用未确知测度算法进行定价决策。其次,根据网络负载实时动态调整网络价格。最后,按照市场经济来管理和控制网络选择。仿真结果表明,所提方案能够有效平衡网络负载,减少网络拥塞,满足用户的服务质量(QoS)需求,并增加网络收入。