Delay Guaranteed Energy-Efficient Computation Offloading for Industrial IoT in Fog Computing

IEEE International Conference on Communications

Volumn 2019-May, Issue , 2019, Pages

  Chen, Siguang ^a   Zheng, Yimin ^a   Wang, Kun ^a   Lu, Weifeng ^a  

^a NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFICIENCY; ENERGY EFFICIENCY; ENERGY UTILIZATION; FOG; GREEN COMPUTING; INTERNET OF THINGS;

COMPUTATION TASKS; CONVERGENCE RATES; CONVERGENCE SPEED; ENERGY MINIMIZATION PROBLEM; GRADIENT ALGORITHM; NUMERICAL RESULTS; PARTIAL COMPUTATION; STRINGENT REQUIREMENT;

FOG COMPUTING;

EID: 85070214025     PISSN: 15503607     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICC.2019.8761199     Document Type: Conference Paper

References (31)

1. S. Chen, Z. Wang, H. Zhang et al., "Fog-based optimized kroneckersupported compression design for industrial IoT, " IEEE Trans. Sust. Comp. in Major Revision, Aug. 2018.
2. Y. Luo, Y. Duan, W. Li et al., "A novel mobile and hierarchical data transmission architecture for smart factories, " IEEE Trans. Ind. Inf., vol. 14, no. 8, pp. 3534-3546, Aug. 2018.
3. S. Chen, X. Zhu, X. Zhao et al., "Fog computing assisted efficient privacy preserving data collection for big sensory data, " in Proc. IEEE Glob. Commun. Conf. (GLOBECOM), Dec. 2018, pp. 1-6.
4. S. Chen, S. Zhang, X. Zheng et al., "Layered adaptive compression design for efficient data collection in industrial wireless sensor networks, " J. Netw. Comput. Appl., vol. 129, pp. 37-45, Mar. 2019.
5. M. Aazam, S. Zeadally and K. A. Harras, "Deploying fog computing in industrial internet of things and industry 4.0, " IEEE Trans. Ind. Inf., vol. 14, no. 10, pp. 4674-4682, Oct. 2018.
6. F. Bonomi, R. Milito, J. Zhu et al., "Fog computing and its role in the internet of things, " in Proc. ACM Mob. Cloud Comput. Workshop, 2012, pp. 13-15.
7. S. Chen, L. Du, K. Wang et al., "Fog computing based optimized compressive data collection for big sensory data, " in Proc. IEEE Int. Conf. Commun. (ICC), May. 2018, pp. 1-6.
8. H. Li, K. Ota and M. Dong, "Learning IoT in edge: deep learning for the Internet-of-Things with edge computing, " IEEE Netw. Mag., vol. 32, no. 1, pp. 96-101, Jan. 2018.
9. K. Zhang, Y. Mao, S. Leng et al., "Mobile edge computing for vehicular networks: a promising network paradigm with predictive offloading, " IEEE Veh. Technol. Mag., vol. 12, no. 2, pp. 36-44, Jun. 2017.
10. J. Wu, M. Dong, K. Ota et al., "FCSS: fog-computing-based contentaware filtering for security services in information-centric social networks, " IEEE Trans. Emerg. Top. Comput., DOI: 10.1109/TETC.2017. 2747158, Sep. 2017.
11. J. Liu, Y. Mao, J. Zhang et al., "Delay-optimal computation task scheduling for mobile-edge computing systems, " in Proc. IEEE Int. Symp. Inf. Theor. (ISIT), Aug. 2016, pp. 1451-1455.
12. Z. Chang, Z. Zhou, T. Ristaniemi et al., "Energy efficient optimization for computation offloading in fog computing system, " in Proc. IEEE Glob. Commun. Conf. (GLOBECOM), Dec. 2017, pp. 1-6.
13. B. Yin, W. Shen, L. Cai et al., "A mobile cloud computing middleware for low latency offloading of big data, " in Proc. Int. Symp. Mobile Ad Hoc Networking Comput., Jun. 2015, pp. 31-35.
14. H. Q. Le, H. Al-Shatri and A. Klein, "Efficient resource allocation in mobile-edge computation offloading: completion time minimization, " in Proc. IEEE Int. Symp. Inf. Theor. (ISIT), Aug. 2017, pp. 2513-2517.
15. J. Ren, G.Yu, Y. Cai et al., "Latency optimization for resource allocation in mobile-edge computation offloading, " IEEE Trans. Wireless Commun., vol. 17, no. 8, pp. 5506-5519, Aug. 2018.
16. S. Zhao, Y. Yang, X. Yang et al., "Online user association and computation offloading for fog-enabled D2D network, " IEEE Fog World Congr. (FWC), May. 2017, pp. 1-6.
17. Y. Yu, J. Zhang and K. B. Letaief, "Joint subcarrier and CPU time allocation for mobile edge computing, " in Proc. IEEE Glob. Commun. Conf. (GLOBECOM), Dec. 2016, pp. 1-6.
18. X. Meng, W. Wang and Z. Zhang, "Delay-constrained hybrid computation offloading with cloud and fog computing, " IEEE Access, vol. 5, pp. 21355-21367, Aug. 2017.
19. A. Kattepur, H. Dohare, V. Mushunuri et al., "Resource constrained offloading in fog computing, " in Proc. Workshop Middlew. Edge Clouds Cloudlets (MECC), Dec. 2016, pp. 1-6.
20. X. Tao, K. Ota and M. Dong, "Performance guaranteed computation offloading for mobile-edge cloud computing, " IEEE Wireless Commun. Lett., vol. 6, no. 6, pp. 774-777, Dec. 2017.
21. F. Wang, J. Xu, X. Wang et al., "Joint offloading and computing optimization in wireless powered mobile-edge computing systems, " IEEE Trans. Wireless Commun., vol. 17, no. 3, pp. 1784-1797, Mar. 2018.
22. J. Du, L. Zhao, J. Feng et al., "Computation offloading and resource allocation in mixed fog/cloud computing systems with min-max fairness guarantee, " IEEE Trans. Commun., vol. 66, no. 4, pp. 1594-1608, Apr. 2018.
23. T. Q. Dinh, J. Tang, Q. D. La et al., "Offloading in mobile edge computing: task allocation and computational frequency scaling, " IEEE Trans. Commun., vol. 65, no. 8, pp. 3571-3584, Aug. 2017.
24. J. Liu and Q. Zhang, "Offloading schemes in mobile edge computing for ultra-reliable Low latency communications, " IEEE Access, vol. 6, pp. 12825-12837, Feb. 2018.
25. L. Liu, Z. Chang, X. Guo et al., "Multiobjective optimization for computation offloading in fog computing, " IEEE Internet Things J., vol. 5, no. 1, pp. 283-294, Feb. 2018.
26. Y. Wang, K. Wang, H. Huang et al., "Traffic and computation cooffloading with reinforcement learning in fog computing for industrial applications, " IEEE Trans. Ind. Inf., vol. 15, no. 2, pp. 976-986, Feb. 2019.
27. L. Li, K. Ota and M. Dong, "Deep learning for smart industry: efficient manufacture inspection system with fog computing, " IEEE Trans. Ind. Inf., vol. 14, no. 10, pp. 4665-4673, Oct. 2018.
28. X. He, K. Wang, H. Huang et al., "Green resource allocation based on deep reinforcement learning in content-centric IoT, " IEEE Trans. Emerg. Top. Comput., DOI: 10.1109/TETC.2018.2805718, Feb. 2018.
29. K. Wang, Y. Wang, Y. Sun et al., "Green industrial Internet of Things architecture: an energy-efficient perspective, " IEEE Commun. Mag., vol. 54, no. 12, pp. 48-54, Dec. 2016.
30. K. Zhang, S. Leng, Y. He et al., "Mobile edge computing and networking for green and low-latency Internet of Things, " IEEE Commun. Mag., vol. 56, no. 5, pp. 39-45, May. 2018.
31. C. Xu, K. Wang, P. Li et al., "Making big data open in edges: a resourceefficient blockchain-based approach, " IEEE Trans. Parallel Distrib. Syst., DOI: 10.1109/TPDS.2018.2871449, Sep. 2018.