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AuthorWang, Qian
AuthorFang, Juan
AuthorGong, Bei
AuthorDu, Xiaojiang
AuthorGuizani, Mohsen
Available date2022-11-19T13:54:47Z
Publication Date2020-11-01
Publication NameSensors (Switzerland)
Identifierhttp://dx.doi.org/10.3390/s20216287
CitationWang, Q., Fang, J., Gong, B., Du, X., & Guizani, M. (2020). An intelligent data uploading selection mechanism for offloading uplink traffic of cellular networks. Sensors, 20(21), 6287.‏
ISSN14248220
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85095740276&origin=inward
URIhttp://hdl.handle.net/10576/36485
AbstractWi-Fi uploading is considered an effective method for offloading the traffic of cellular networks generated by the data uploading process of mobile crowd sensing applications. However, previously proposed Wi-Fi uploading schemes mainly focus on optimizing one performance objective: the offloaded cellular traffic or the reduced uploading cost. In this paper, we propose an Intelligent Data Uploading Selection Mechanism (IDUSM) to realize a trade-off between the offloaded traffic of cellular networks and participants’ uploading cost considering the differences among participants’ data plans and direct and indirect opportunistic transmissions. The mechanism first helps the source participant choose an appropriate data uploading manner based on the proposed probability prediction model, and then optimizes its performance objective for the chosen data uploading manner. In IDUSM, our proposed probability prediction model precisely predicts a participant’s mobility from spatial and temporal aspects, and we decrease data redundancy produced in the Wi-Fi offloading process to reduce waste of participants’ limited resources (e.g., storage, battery). Simulation results show that the offloading efficiency of our proposed IDUSM is (56.54 × 10−7), and the value is the highest among the other three Wi-Fi offloading mechanisms. Meanwhile, the offloading ratio and uploading cost of IDUSM are respectively 52.1% and (6.79 × 103). Compared with other three Wi-Fi offloading mechanisms, it realized a trade-off between the offloading ratio and the uploading cost.
SponsorThis research was funded by National Key Research and Development Project of China (2019YFB2102303), National Natural Science Foundation of China (61971014, 11675199, 61202076) and Beijing Natural Science Foundation (4192007).
Languageen
PublisherMDPI AG
SubjectMobile crowd sensing applications
Mobility prediction
Opportunistic communications
Uplink traffic offloading
TitleAn intelligent data uploading selection mechanism for offloading uplink traffic of cellular networks
TypeArticle
Issue Number21
Volume Number20
dc.accessType Open Access


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