Mobile Edge Computing and Networking for Green and Low-Latency Internet of Things

IEEE Communications Magazine

Volumn 56, Issue 5, 2018, Pages 39-45

  Zhang, Ke ^a   Leng, Supeng ^a   He, Yejun ^b   Maharjan, Sabita ^c   Zhang, Yan ^c  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b SHENZHEN UNIVERSITY   (China)

^c UNIVERSITY OF OSLO   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

EDGE COMPUTING; ENERGY EFFICIENCY; GAME THEORY; GREEN COMPUTING;

COMPUTATION OFFLOADING; END-USER EXPERIENCE; LATENCY PERFORMANCE; MOBILE APPLICATIONS; MOBILE EDGE COMPUTING; NUMERICAL RESULTS; SERVICE PROVIDER; TASK EXECUTIONS;

INTERNET OF THINGS;

EID: 85047368570     PISSN: 01636804     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCOM.2018.1700882     Document Type: Article

References (15)

1. A. Alrawais et al., "Fog Computing for the Internet of Things: Security and Privacy Issues, " IEEE Internet Computing, vol. 21, no. 2, Mar.-Apr. 2017, pp. 34-42.
2. T. Snyder and G. Byrd, "The Internet of Everything, " Computer, vol. 50, no. 6, June, 2017, pp. 8-9.
3. A. Al-Shuwaili and O. Simeone, "Energy-Efficient Resource Allocation for Mobile Edge Computing-Based Augmented Reality Applications, " IEEE Wireless Commun. Letters, vol. 6, no. 3, June 2017, pp. 398-401.
4. K. Zhang et al., "Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks, " IEEE Access, vol. 4, Aug. 2016, pp. 5896-5907.
5. R. Deng et al., "Optimal Workload Allocation in Fog-Cloud Computing Toward Balanced Delay and Power Consumption" IEEE Internet of Things J., vol. 3, no. 6, Dec. 2016, pp. 1171-81.
6. R. Vilalta et al., "TelcoFog: A Unified Flexible Fog and Cloud Computing Architecture for 5G Networks, " IEEE Commun. Mag., vol. 55, no. 8, Aug. 2017, pp. 36-43.
7. G. Qiao et al., "Joint Deployment and Mobility Management of Energy Harvesting Small Cells in Heterogeneous Networks, " IEEE Access, vol. 5, Dec. 2016, pp. 183-96.
8. Y. Zhang et al., "Home M2M Networks: Architectures, Standards, and QoS Improvement, " IEEE Commun. Mag., vol. 49, no. 4, Apr. 2011, pp. 44-52.
9. K. Wang et al., "Wireless Big Data Computing in Smart Grid, " IEEE Wireless Commun., vol. 24, no. 2, Apr. 2017, pp. 58-64.
10. J. H. Abawajy and M. M. Hassan, "Federated Internet of Things and Cloud Computing Pervasive Patient Health Monitoring System, " IEEE Commun. Mag., vol. 55, no. 1, Jan. 2017, pp. 48-53.
11. X. Li et al., "CaaS: Caching as a Service for 5G Networks, " IEEE Access, vol. 5, Mar. 2017, pp. 5982-93.
12. W. Ejaz et al., "Efficient Energy Management for the Internet of Things in Smart Cities, " IEEE Commun. Mag., vol. 55, no. 1, Jan. 2017, pp. 84-91.
13. J. B. Rosen, "Existence and Uniqueness of Equilibrium Points for Concave N-Person Games, " Econometrica, vol. 33, no. 3, July 1965, pp. 520-34.
14. G. Debreu, "A Social Equilibrium Existence Theorem, " Proc. Natil. Academy of Sciences of the U.S.A., vol. 38, no. 10, Oct. 1952, pp. 886-93.
15. S. Maharjan et al., "Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach, " IEEE Trans. Smart Grid, vol. 4, no. 1, Mar. 2013, pp. 120-32.