A computing resource scheduling strategy of massive IoT devices in the mobile edge computing environment
Author:
Affiliation:
1. School of Internet of Things Engineering Wuxi Taihu University Wuxi Jiangsu China
2. Jiangsu Key Construction Laboratory of IoT Application Technology Wuxi Jiangsu China
Publisher
Institution of Engineering and Technology (IET)
Subject
General Engineering,Energy Engineering and Power Technology,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/tje2.12040
Reference29 articles.
1. Collaborative cloud and edge computing for latency minimization;Ren J.;IEEE Trans. Veh. Technol.,2019
2. A survey of cross‐technology communication for IoT heterogeneous devices;Xia S.;IET Commun.,2019
3. Joint resource allocation and offloading decision in mobile edge computing;Khalili A.;IEEE Commun. Lett.,2019
4. Joint optimal software caching, computation offloading and communications resource allocation for mobile edge computing;Wen W.;IEEE Trans. Veh. Technol.,2020
5. An edge‐computing paradigm for IoT over power line communication networks;Qian Y.;IEEE Network,2020
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