Communication Mechanisms Comparison and Decision Algorithm Optimization in Vehicle Edge Computing

Yushen Xun

doi:10.1051/shsconf/202214403020

All issues

Volume 144 (2022)

SHS Web Conf., 144 (2022) 03020

References

Open Access

Issue		SHS Web Conf. Volume 144, 2022 2022 International Conference on Science and Technology Ethics and Human Future (STEHF 2022)


Article Number		03020
Number of page(s)		6
Section		Application of Artificial Intelligence Technology and Machine Learning Algorithms
DOI		https://doi.org/10.1051/shsconf/202214403020
Published online		26 August 2022

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[1] USRP B210, 2019. Available at https://www.ettus.com/all-products/ub210-kit/. [Google Scholar]

[2] Min Chen and Yixue Hao. Task offloading for mobile edge computing in software defined ultra-dense network. IEEE Journal on Selected Areas in Communications, 36(3) (2018) pp. 587–597. [CrossRef] [Google Scholar]

[3] Nima Eshraghi and Ben Liang. Joint offloading decision and resource allocation with uncertain task computing requirement. In IEEE INFOCOM 2019IEEE Conference on Computer Communications, pages 1414–1422. IEEE, 2019. [Google Scholar]

[4] Navid Nikaein, Mahesh K Marina, Saravana Manickam, Alex Dawson, Raymond Knopp, and Christian Bonnet. OpenAirInterface: A flexible platform for 5G research. ACM SIGCOMM Computer Communication Review, 44(5) (2014) pp. 33–38. [CrossRef] [Google Scholar]

[5] Liangkai Liu, Xingzhou Zhang, Qingyang Zhang, Andrew Weinert, Yifan Wang, and Weisong Shi. AutoVAPS: an IoT-enabled public safety service on vehicles. In Proceedings of the Fourth Workshop on International Science of Smart City Operations and Platforms Engineering, pages 41–47, 2019. [Google Scholar]

[6] Junjue Wang, Ziqiang Feng, Shilpa George, Roger Iyengar, Padmanabhan Pillai, and Mahadev Satyanarayanan. Towards scalable edge-native applications. In Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, pages 152–165, 2019. [Google Scholar]

[7] Ismael Gomez-Miguelez, Andres Garcia-Saavedra, Paul D Sutton, Pablo Serrano, Cristina Cano, and Doug J Leith. srsLTE: an open-source platform for LTE evolution and experimentation. In Proceedings of the Tenth ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation, and Characterization, pages 25–32, 2016. https://dblp.org/rec/conf/hotedge/WangLZS19.html [Google Scholar]

[8] Yifan Wang, Liangkai Liu, Xingzhou Zhang, and Weisong Shi. HydraOne: an indoor experimental research and education platform for CAVs. In 2nd {USENIX} Workshop on Hot Topics in Edge Computing (HotEdge 19), 2019. [Google Scholar]

[9] Hirst, J. M., Miller, J. R., Kaplan, B. A., & Reed, D. D. Watts Up? Pro AC Power Meter for Automated Energy Recording. Behavior Analysis in Practice, 6(1) (2013) pp.82–95. doi:10.1007/bf03391795 [CrossRef] [Google Scholar]

[10] Yang X. A new metaheuristic bat-inspired algorithm. In: Gonza´lez JR, Pelta DA, Cruz C, et al. (eds) Nature inspired cooperative strategies for optimization (NICSO), Springer, Berlin. Vol. 284. 2010, pp.65–74. [Google Scholar]

[11] Deb K, Pratap A, Agarwal S, et al. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE T Evolut Comput 2002; 6(2) (2002) pp.182–197. [CrossRef] [Google Scholar]

[12] AquilaEAG. NSGAII (Genetic Algorithm for Nondominated Sorting with Elitism), 2018, https://blog.csdn.net/weixin_43202635/article/details/82708916 [Google Scholar]