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.
Similar content being viewed by others
References
Zaidan AA, Zaidan BB, Qahtan MY, et al. (2018) A survey on communication components for IoT-based technologies in smart homes. Telecommun Syst 69:1–25
Wang W, Xia F, Nie H, Chen Z, Gong Z, Kong X, Wei W (2020) Vehicle trajectory clustering based on dynamic representation learning of internet of vehicles. IEEE Trans Intell Transp Syst:1–10
Kavitha BC, Vallikannu R, Sakthidasan Sankaran K (2020) Delay-aware concurrent data management method for IoT collaborative mobile edge computing environment. Microprocess Microsyst 74:103021
Shi W, Cao J, Zhang Q, Li Y, Xu L (2016) Edge computing: Vision and challenges. IEEE Internet Things J 3:637–646
Salman O, Elhajj I, Kayssi A, Chehab A (2015) Edge computing enabling the Internet of Things. In: 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), 603–608
Kar UN, Sanyal DK (2018) An overview of device-to-device communication in cellular networks. ICT Express 4:203–208
Wang X, Zhang Y, Leung VCM, Guizani N, Jiang T (2018) Big D2D Data: Content Deliveries over Wireless Device-to-Device Sharing in Large-Scale Mobile Networks. IEEE Wirel Commun 25:32–38
Souri A, Hussien A, Hoseyninezhad M, Norouzi M (2019) A systematic review of IoT communication strategies for an efficient smart environment. Trans Emerging Telecomm Technol:e3736
Wang S, Shin O, Shin Y (2019) Social-Aware Routing for Multi-hop D2D Communication in Relay Cellular Networks. In: 2019 Eleventh International Conference on Ubiquitous and Future Networks (ICUFN), 169–172
Tu R, Xiang R, Xu Y, Mei Y (2019) A Review in the Core Technologies of 5G: Device-to-device Communication, Multi-Access Edge Computing and Network Function Virtualization, International Journal of Communications. Netw Syst Sci 12:125–150
Luo C, Xu L, Li D, Wu W (2020) Edge computing integrated with blockchain technologies, lecture notes in computer science. Complex Approx 12000:268–288
Luo J, Deng X, Zhang H, Qi H (2019) Qoe-driven computation offloading for Edge Computing. J Syst Archit 97:34–39
Mehrabi A, Siekkinen M, Illahi G, Ylä-Jääski A (2019) D2D-Enabled Collaborative Edge Caching and Processing with Adaptive Mobile Video Streaming. In: 2019 IEEE 20th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp 1–10
Zhou Z, Zhang W, Li S, Yu N (2019) Potential risk of IoT device supporting IR remote control. Comput Netw 148:307– 317
Kertesz A, Pflanzner T, Gyimothy T (2019) A Mobile IoT Device Simulator for IoT-Fog-Cloud Systems. J Grid Comput 17:529–551
Khan MA, Ridha H, Hasna M (2019) Optimal group formation in dense Wi-Fi direct networks for content distribution. IEEE Access 7:161231–161245
Haus M, Waqas M, Ding AY, Li Y, Tarkoma S, Ott J (2017) Security and Privacy in Device-to-Device (D2D) Communication: A Review. IEEE Commun Surv Tutorials 19:1054–1079
Sunil S, Mukhopadhyay A, Gujjar C (2017) Multi-group message communication on android smartphones via WiFi direct. In: 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp 1994–1999
Li F, Wang X, Wang Z, Cao J, Liu X, Bi Y, Li W, Wang Y (2020) A Local Communication System over Wi-Fi Direct: Implementation and performance evaluation. IEEE Internet Things J 7:5140–5158
Kondo T, Watanabe H, Ohigashi T (2017) Development of the Edge Computing Platform Based on Functional Modulation Architecture. In: 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), pp 284–285
Chen X, Pu L, Gao L, Wu W, Wu D (2017) Exploiting massive D2D collaboration for Energy-Efficient mobile edge computing. IEEE Wirel Commun 24:64–71
He Y, Ren J, Yu G, Cai Y (2019) D2D Communications meet mobile edge computing for enhanced computation capacity in cellular networks. IEEE Trans Wirel Commun 18:1750– 1763
Yuli Cristanti R, Sigit R, Harsono T, Adelina DC, Nabilah A, Anggraeni NP (2017) Eye gaze tracking to operate android-based communication helper application. In: 2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC), pp 89–94
Le M, Clyde S, Kwon YW (2019) Enabling multi-hop remote method invocation in device-to-device networks. Hum-Centric Comput Inf Sci 9:20
Yang Y, Xu J, Xu Z, Zhou P, Qiu T (2020) Quantile Context-Aware Social IoT Service Big Data Recommendation With D2D Communication. IEEE Internet Things J 7:5533–5548
Acknowledgements
This work was supported in part by the National Natural Science Foundation of China under Grants U1804164, 62072159 and U1404602, in part by the Science and Technology Foundation of Henan Educational Committee under Grants 19A510015, 20A520019 and 20A520020.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Yuan, P., Huang, R. Integrating the device-to-device communication technology into edge computing: A case study. Peer-to-Peer Netw. Appl. 14, 599–608 (2021). https://doi.org/10.1007/s12083-020-01015-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12083-020-01015-z