Integrating the device-to-device communication technology into edge computing: A case study
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Integrating the device-to-device communication technology into edge computing: A case study Peiyan Yuan1 · Rong Huang2 Received: 11 June 2020 / Accepted: 7 October 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract The increasing demand on internet traffic makes the network operator face a dilemma: How to improve users’ quality of experience (QoE) with limited spectrum resources? In this study, we try to alleviate operators’ pressure by exploiting the merits of edge computing and device-to-device (D2D) communication technology. Offloading data or task to the edge can reduce the access delay of users, and the D2D communication technology helps to employ the unlicensed spectrum to transmit data. Furthermore, the information exchange can be completed without the network infrastructure. Considering these facts, we build an edge computing platform, in which devices can automatically switch the transmission pattern based on the communication distance or the strength of signals. We test the transmission performance of two D2D links, Wi-Fi Direct and Bluetooth, and that of the cellular link, and use the flower identification as a case study to verify the effectiveness of the platform. The experimental results validate that with the assistance of D2D communication technology, the response time is greatly improved compared with using the cellular link. Keywords Edge computing · Device-to-device communication · Wi-Fi direct · Task offloading
1 Introduction With the rapid development of Internet of Things, some IoT-based devices have been used in different fields such as smart cities, smart home [1], smart education, and Internet of Vehicles [2]. The pervasive increase in household appliances, public facilities, media equipment, and personal devices, has resulted in massive data to be accessed to mobile networks. The data generated by various devices is showing an explosive growth, resulting in an increasing demand on the network resources and a great challenge to the network operator: how to improve users’ quality of experience (QoE) with limited spectrum resources? Offloading data from sensing devices to the network edge has significant applications [3]. Data processing and analysis at the edge help to reduce the network traffic and the response time, and improve users’ QoE [4, 5]. Peiyan Yuan
[email protected] 1
School of Computer and Information Engineering, Henan Normal University, Xinxiang, Henan, 453007, China
2
Big Data Engineering Laboratory for Teaching Resources, Xinxiang, Henan, China
However, if the cellular communication is still used in edge computing, the scarce spectrum resources cannot guarantee a desired bandwidth, which affects the QoE of users. For example, in the augmented reality, a large amount of multimedia content needs to be transmitted. In this case, the limited bandwidth of cellular links does not cater for users. On the other hand, if the Wi-Fi technology is used, two devices can directly communicate through multiplexed resources [6]. More importantly, the devi
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