QoS with Selfish Nodes in Wireless Networks

Sandeep, S.R.; Nuggehalli, Pavan

doi:10.1109/comswa.2006.1665236

Cited by 3 publications

(1 citation statement)

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“…Few research exist in terms of pricing scheme focused on sel shness of users and C-RAN model (Indrawati et al, 2017(Indrawati et al, , 2019. Previous research on sel sh users also are found in some literature involving network routing problem (Barth et al, 2005;Qiu et al, 2006;Roughgarden, 2001;Sandeep and Nuggehalli, 2006) and a bit more of statistical simulation to show the computation and never explain how pricing schemes have e ects on networks (Puspita et al, 2014;Puspita and Oktaryna, 2017). That is the important issue to be explored more to how to create such mathematical formulation.…”

Section: Introductionmentioning

confidence: 99%

Selfish User Network Optimization With Celluler Network Traffic Management Model Using Lingo 13.0

Indrawati¹,

Puspita²,

Silaen³

et al. 2020

sci. technol. indones.

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This paper discusses the management of traffic between cloud-based cellular networks. Welldesigned traffic management will allow network operators to draw maximum value from availablecapacity where cloud-based traffic management is called the UE (User Equipment). Runningtraffic management on the side of the UE allows decision making in the UE. Users can reach theQoS level to increase the speed of data received and communication latency or reduce theirpower consumption. Each UE maximizes their utility function, which is modelled based on theQoS parameters, selfishly, at the network side. So, the attempt is to maximize fairness among alluses’ flows by designing new improved model of traffic management cloud based of pricinginternet involving the energy consumption. Also in this paper parameters β as UE parameter valueand α as range value parameter are used. The results show that the improved model is betterthan the original one proposed by previous research in terms of maximum value reached althoughit takes more time for improved model to complete the iterations.

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