Latency‐minimum offloading decision and resource allocation for fog‐enabled Internet of Things networks-Reference-Cited by-同舟云学术

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Latency‐minimum offloading decision and resource allocation for fog‐enabled Internet of Things networks

Published:2020-01-28 Issue:12 Volume:31 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Wang Qian¹²^ORCID,Chen Siguang¹²

Affiliation:

1. Jiangsu Key Lab of Broadband Wireless Communication and Internet of Things Nanjing University of Posts and Telecommunications Nanjing China

2. Jiangsu Engineering Research Center of Communications and Network Technology Nanjing University of Posts and Telecommunications Nanjing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.3880

Reference31 articles.

1. Compressive network coding for wireless sensor networks: Spatio-temporal coding and optimization design

2. Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges

3. BonomiF MilitoR ZhuJ AddepalliS. Fog computing and its role in the Internet of Things. Paper presented at: Proceedings of ACM Mobile Cloud Computation Workshop (MCC); February 2012:13‐15.

4. ChenS ZhengY WangK LuW. Delay guaranteed energy‐efficient computation offloading for industrial IoT in fog computing. Paper presented at: Proceedings of IEEE International Conference on Communications (ICC); May 2019:1‐6.

5. Fog-based Optimized Kronecker-Supported Compression Design for Industrial IoT

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