Research on Content-aware Classification Offloading Algorithm Based on Mobile Edge Calculation in the Internet of Vehicles

Haitao ZHAO; Yinyang ZHU; Yi DING; Hongbo ZHU

doi:10.11999/JEIT190594

Volume 42 Issue 1

Jan. 2020

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(1): 20-27

Haitao ZHAO, Yinyang ZHU, Yi DING, Hongbo ZHU. Research on Content-aware Classification Offloading Algorithm Based on Mobile Edge Calculation in the Internet of Vehicles[J]. Journal of Electronics & Information Technology, 2020, 42(1): 20-27. doi: 10.11999/JEIT190594

Citation:

Haitao ZHAO, Yinyang ZHU, Yi DING, Hongbo ZHU. Research on Content-aware Classification Offloading Algorithm Based on Mobile Edge Calculation in the Internet of Vehicles[J]. Journal of Electronics & Information Technology, 2020, 42(1): 20-27. doi: 10.11999/JEIT190594

Citation:

Haitao ZHAO, Yinyang ZHU, Yi DING, Hongbo ZHU. Research on Content-aware Classification Offloading Algorithm Based on Mobile Edge Calculation in the Internet of Vehicles[J]. Journal of Electronics & Information Technology, 2020, 42(1): 20-27. doi: 10.11999/JEIT190594

PDF( 1114 KB)

Research on Content-aware Classification Offloading Algorithm Based on Mobile Edge Calculation in the Internet of Vehicles

doi: 10.11999/JEIT190594 cstr: 32379.14.JEIT190594

1.
Ministry of Education Ubiquitous Network Health Service System Engineering Research Center, Nanjing 210003, China
2.
Jiangsu Key Wireless Communication Laboratory, Nanjing 210003, China
3.
College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Funds: The National Natural Science Foundation of China (61771252), The Natural Science Foundation Project of Jiangsu Province (BK20171444), The University Natural Science Research Major Project of Jiangsu Province (18KJA510005), The "Six Talents High Peaks" Class B Funding Project of Jiangsu Province (DZXX-041), The Jiangsu Provincial Association for Science and Technology Talents Entrustment Project, Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX19_0949)

Received Date: 2019-08-06
Rev Recd Date: 2019-11-14

Available Online: 2019-11-28

Publish Date: 2020-01-21

Abstract

Abstract

With the rapid development of intelligent transportation, vehicle terminals generate a large number of data messages that need to be processed in real time. Competition on limited resources will increase the delay of message processing and energy consumption for terminal equipment. For the equilibrium relationship between delay and energy loss, this paper proposes a content-aware classification offloading algorithm based on Mobile Edge Computing (MEC). Firstly, the security message is prioritized according to the analytic hierarchy process, and then the optimal task unloading model of delay and energy loss is established. The relational model is established by assigning different weight coefficients to delay and energy loss. The Lagrangian relaxation method is used to transform the non-convex problem into a convex problem, which combines the sub-gradient projection method and the greedy algorithm to obtain the feasible solution. The performance evaluation results show that the algorithm improves the message processing delay and energy loss to some extent.
- Mobile Edge Computing (MEC),
- Computational offloading,
- Message priority,
- Delay

FullText(HTML)

References(19)

References

LIN Kai, LI Chensi, FORTINO G, et al. Vehicle route selection based on game evolution in social internet of vehicles[J]. IEEE Internet of Things Journal, 2018, 5(4): 2423–2430. doi: 10.1109/JIOT.2018.2844215

MINH Q T, KAMIOKA E, and YAMADA S. CFC-ITS: Context-aware fog computing for intelligent transportation systems[J]. IT Professional, 2018, 20(6): 35–45. doi: 10.1109/MITP.2018.2876978

TANG Shanjiang, LEE B S, and HE Bingsheng. Fair resource allocation for data-intensive computing in the cloud[J]. IEEE Transactions on Services Computing, 2018, 11(1): 20–33. doi: 10.1109/TSC.2016.2531698

LUO Guiyang, YUAN Quan, ZHOU Haibo, et al. Cooperative vehicular content distribution in edge computing assisted 5G-VANET[J]. China Communications, 2018, 15(7): 1–17. doi: 10.1109/CC.2018.8424578

赵星, 彭建华. 基于Lyapunov优化的隐私感知计算卸载方法[J]. 电子与信息学报, 2020. doi: 10.11999/JEIT190170

ZHAO Xing and PENG Jianhua. A privacy-aware computation offloading method based on Lyapunov optimization[J]. Journal of Electronics &Information Technology, 2020. doi: 10.11999/JEIT190170

TRINH H, CALYAM P, CHEMODANOV D, et al. Energy-aware mobile edge computing and routing for low-latency visual data processing[J]. IEEE Transactions on Multimedia, 2018, 20(10): 2562–2577. doi: 10.1109/TMM.2018.2865661

张海波, 栾秋季, 朱江, 等. 车辆异构网中基于移动边缘计算的任务卸载与资源分配[J]. 物联网学报, 2018, 2(3): 36–43. doi: 10.11959/j.issn.2096-3750.2018.00062

ZHANG Haibo, LUAN Qiuji, ZHU Jiang, et al. Task offloading and resource allocation in vehicle heterogeneous networks with MEC[J]. Chinese Journal on Internet of Things, 2018, 2(3): 36–43. doi: 10.11959/j.issn.2096-3750.2018.00062

TAO Xiaoyi, OTA K, DONG Mianxiong, et al. Performance guaranteed computation offloading for mobile-edge cloud computing[J]. IEEE Wireless Communications Letters, 2017, 6(6): 774–777. doi: 10.1109/LWC.2017.2740927

张海波, 李虎, 陈善学, 等. 超密集网络中基于移动边缘计算的任务卸载和资源优化[J]. 电子与信息学报, 2019, 41(5): 1194–1201. doi: 10.11999/JEIT180592

ZHANG Haibo, LI Hu, CHEN Shanxue, et al. Computing offloading and resource optimization in ultra-dense networks with mobile edge computation[J]. Journal of Electronics &Information Technology, 2019, 41(5): 1194–1201. doi: 10.11999/JEIT180592

ALAMEDDINE H A, SHARAFEDDINE S, SEBBAH S, et al. Dynamic task offloading and scheduling for low-latency IoT services in multi-access edge computing[J]. IEEE Journal on Selected Areas in Communications, 2019, 37(3): 668–682. doi: 10.1109/JSAC.2019.2894306

GUO Shuaishuai, WU Dalei, ZHANG Haixia, et al. Resource modeling and scheduling for mobile edge computing: A service provider’s perspective[J]. IEEE Access, 2018, 6: 35611–35623. doi: 10.1109/ACCESS.2018.2851392

YOU Changsheng, HUANG Kaibin, CHAE H, et al. Energy-efficient resource allocation for mobile-edge computation offloading[J]. IEEE Transactions on Wireless Communications, 2017, 16(3): 1397–1411. doi: 10.1109/TWC.2016.2633522

SAMANTA A and CHANG Zheng. Adaptive service offloading for revenue maximization in mobile edge computing with delay-constraint[J]. IEEE Internet of Things Journal, 2019, 6(2): 3864–3872. doi: 10.1109/JIOT.2019.2892398

ALNOMAN A and ANPALAGAN A. A dynamic priority service provision scheme for delay-sensitive applications in fog computing[C]. The 29th Biennial Symposium on Communications, Toronto, Canada, 2018: 1–5. doi: 10.1109/BSC.2018.8494691.

KIM G, JEON Y, and KIM J. A secure message service using the secure domain of a mobile security solution[C]. The 2014 International Conference on Information and Communication Technology Convergence, Busan, South Korea, 2014: 619–620. doi: 10.1109/ICTC.2014.6983230.

LI Junjie. Analyzing key factors in Taiwanese teachers teaching in China with analytic hierarchy process[J]. Journal of Interdisciplinary Mathematics, 2018, 21(2): 307–316. doi: 10.1080/09720502.2017.1420561

YUAN Jie and LI Xiaoyong. A reliable and lightweight trust computing mechanism for iot edge devices based on multi-source feedback information fusion[J]. IEEE Access, 2018, 6: 23626–23638. doi: 10.1109/ACCESS.2018.2831898

LING Ping, KONG Xiangrui, FANG Chen, et al. Novel distributed state estimation method for the AC-DC hybrid microgrid based on the Lagrangian relaxation method[J]. The Journal of Engineering, 2019, 2019(18): 4932–4936. doi: 10.1049/joe.2018.9329

RANI E and KAUR H. Study on fundamental usage of CloudSim simulator and algorithms of resource allocation in cloud computing[C]. The 8th International Conference on Computing, Communication and Networking Technologies, Delhi, India, 2017: 1–7. doi: 10.1109/ICCCNT.2017.8203998.

Relative Articles

Supplements(0)

Cited By

Proportional views