Abstract
In order to eliminate the factors that restrict the performance of wireless network data transmission, we proposed the optimal control mechanism of wireless network data transmission. The proposed mechanism solves the intelligence problem of the feedback loop, the mobility of relay nodes, and the feedback of the receiving end. On the one hand, to eliminate the external interference factors, we established an optimal feedback loop control system between the sender and the receiver. On the other hand, in the time linear region, the crowd feedback module is added to the optimal feedback closed-loop control system based on the linear weight. On the basis of the above schemes, we proposed an adaptive optimization model of mobile data transmission. The experiments compared the proposed optimal crowd feedback optimal control scheme with the optimization strategy of the data transmission. From the results of system efficiency and system throughput performance, the proposed optimal crowd feedback optimal control scheme has an obvious advantage.
Highlights
1 Introduction The diversity of [1] and data services in wireless transmission environment [2] makes the quality of wireless transmission data decrease
The novel approaches was proposed in an article [10] that are based on data envelopment analysis (DEA) to further optimize energy consumption in wireless multicast networks
5 Conclusions Based on the study of the decline reasons of the data transmission performance in the wireless network environment and the influencing factors of the feedback mechanism, we put forward the optimal crowd control of the wireless network data transmission
Summary
The diversity of [1] and data services in wireless transmission environment [2] makes the quality of wireless transmission data decrease. Wireless transmission system performance is not stable. These problems seriously affect the quality of the user experience [3]. These issues restrict the way [4] and operating costs of mobile service carriers. In order to solve these problems, the academic and industrial circles have studied the wireless communication protocol [5–8], the wireless data packet [9, 10], the transmission performance control optimization [11, 12], and so on. The novel approaches was proposed in an article [10] that are based on data envelopment analysis (DEA) to further optimize energy consumption in wireless multicast networks. The formula (2) describes the optimal feedback closed-loop control systems
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