Optimizing Offloading in MEC-Enabled Vehicular Networks Using Adaptive PSO and V2V Communication-Reference-Cited by-同舟云学术

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Optimizing Offloading in MEC-Enabled Vehicular Networks Using Adaptive PSO and V2V Communication

Published:2023-11-22 Issue: Volume: Page:369-373
ISSN:
Container-title:2023 Seventh International Conference on Image Information Processing (ICIIP)
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Author:

Shinde Sunita Sunil¹,Parameswari S²,Arun Raj S R³,Kannan K⁴,Rajesh N.⁵,Kiran Ajmeera⁶

Affiliation:

1. NMCOE, Peth,Department of Electrical Engineering,Sangli,Maharashta,India,415409

2. Sri Sairam Institute of Technology, West Tambaram,Department of ECE,Chennai,Tamilnadu,India,600044

3. U.B.D.T College of Engineering,Department of Electronics & Communication Engineering,Davanagere,Karnataka,India,577004

4. R.M.K. College of Engineering and Technology, Puduvoyal,Department of ECE,Chennai,Tamil nadu,India

5. Maharaja Institute of Technology,Department of Electronics and Communication Engineering,Mysore,Karnataka,India

6. MLR Institute of Technology, Dundigal,Department of CSE,Hyderabad,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10537602/10537618/10537791.pdf?arnumber=10537791

Reference15 articles.

1. 6G Internet of Things: A Comprehensive Survey

2. Computation Offloading and Resource Allocation For Cloud Assisted Mobile Edge Computing in Vehicular Networks

3. Mobileedge computing—a key technology towards 5G;Hu;ETSI, White Paper 11,2015

4. Roadside Unit Deployment in Internet of Vehicles Systems: A Survey

5. Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks

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