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AuthorZhai, Yanlong
AuthorSun, Wenxin
AuthorWu, Jianqing
AuthorZhu, Liehuang
AuthorShen, Jun
AuthorDu, Xiaojiang
AuthorGuizani, Mohsen
Available date2022-11-02T07:33:26Z
Publication Date2021-06-01
Publication NameIEEE Transactions on Intelligent Transportation Systems
Identifierhttp://dx.doi.org/10.1109/TITS.2020.3044177
CitationZhai, Y., Sun, W., Wu, J., Zhu, L., Shen, J., Du, X., & Guizani, M. (2020). An energy aware offloading scheme for interdependent applications in software-defined IoV with fog computing architecture. IEEE Transactions on Intelligent Transportation Systems, 22(6), 3813-3823.‏
ISSN15249050
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85099098343&origin=inward
URIhttp://hdl.handle.net/10576/35720
AbstractThe Internet of Vehicles (IoV) is one important application scenarios for the development of the Internet of things. The software-defined network (SDN) and fog computing could effectively improve the IoV network dynamics, which enables the application to achieve better performance by offloading some tasks to fog node or cloud center. Current computation offloading approaches for IoV and fog computing mostly focus on resource utilization. However, the energy-aware offloading has not been adequately addressed, especially for IoV systems with many battery-powered roadside units (RSU) and electric vehicles (EV). In this paper, we study the offloading problem in SDN and fog computing-based IoV systems. An energy-aware dynamic offloading scheme is proposed to prolong the running time of the IoV system by leveraging available battery power to execute more applications. The remaining battery power is defined as a dynamic weight factor in the execution cost model to adjust the optimization objective. Meanwhile, the dependence between applications is also taken into consideration in the cost model. A heuristic optimization algorithm is designed to solve the optimization problem. We conducted comprehensive experiments and results have shown that the offloading scheme could execute more applications with the available battery power under the constraints of application dependence.
SponsorThis work was supported by the National Nature Science Foundation of China under Grant 61602037 and Grant 61872079.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectbattery life
Fog computing
IoV
offloading
SDN
TitleAn Energy Aware Offloading Scheme for Interdependent Applications in Software-Defined IoV with Fog Computing Architecture
TypeArticle
Pagination3813-3823
Issue Number6
Volume Number22
dc.accessType Abstract Only


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