Abstract
For improving the system performance of mobile Internet, how to provide the Quality of Experience (QoE) guarantee is an important factor. First, based on artificial neural network and adaptive cross-layer perceptron, we studied the cloud-assisted QoE guarantee mechanism. Then, according to the power, we divided the distance and perceptron layers of mobile Internet and cloud into three levels. We showed the state information definition of the mobile node on the basis of the adaptive adjustment perceptron layers. Thirdly, the perceptron network topology would be updated according to the customer service, which would be updated based on the perceptron learning rule for improving the training practice efficiency. The above scheme would guarantee the QoE effectively. The experimental results show that the proposed QoE guarantee mechanism has obvious advantages in terms of throughput, efficiency, and reliability.
Highlights
Mobile crowding networks can fully study the underlying data service node of the mobile communication system, which could provide better quality assurance for data communications and make full use of the sensing region mobile node communication resources, and is used in various fields, such as metro networks [1], organelle networks [2], and aqueous hydroxyapatite-gelatin networks [3]
Mwale et al [9] applied a combination of self-organizing maps (SOM) and multilayer perceptron artificial neural networks to the Lower Shire
It is found that the throughput rate of the CAQG-ACL maintains a high and obvious rising trend, which benefits from a mobile node perceptron update process
Summary
Mobile crowding networks can fully study the underlying data service node of the mobile communication system, which could provide better quality assurance for data communications and make full use of the sensing region mobile node communication resources, and is used in various fields, such as metro networks [1], organelle networks [2], and aqueous hydroxyapatite-gelatin networks [3]. Based on the results of the above researches, the cloudassisted QoE guarantee mechanism based on adaptive cross-layer perceptron of artificial neural network was proposed for mobile crowding networks. For optimizing the perceptron performance of mobile crowding networks and encouraging users to join the cooperation, based on artificial intelligence neural network, the perceptron would be optimized according to equations (6) and (7) This is to ensure that the transmission power, distance, and layer number of the mobile neighbor nodes could be optimized. Based on the data loss and weight factor, the power, location information, and the layer numbers should be updated in the round, by broadcasting the full effective incentive information in mobile crowding networks. A perceptron network could be trained and created according to formula (11)
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