DroneCOCoNet: Learning-based edge computation offloading and control networking for drone video analytics-Reference-Cited by-同舟云学术

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DroneCOCoNet: Learning-based edge computation offloading and control networking for drone video analytics

Published:2021-12 Issue: Volume:125 Page:247-262
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Qu Chengyi,Calyam Prasad,Yu Jeromy,Vandanapu Aditya,Opeoluwa Osunkoya,Gao Ke^ORCID,Wang Songjie,Chastain Raymond^ORCID,Palaniappan Kannappan

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference37 articles.

1. Flying ad hoc networks (FANET) test bed implementation;Bekmezci,2015

2. Flying ad hoc networks: A new domain for network communications;Guillen-Perez;Sensors,2018

3. ACODS: adaptive computation offloading for drone surveillance system;Jung,2017

4. A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art;Pham,2019

5. Policy-based function-centric computation offloading for real-time drone video analytics;Chemodanov,2019

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1. Comprehensive Review of Drones Collision Avoidance Schemes: Challenges and Open Issues;IEEE Transactions on Intelligent Transportation Systems;2024-07

2. Deep Neural Networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues;Journal of Network and Computer Applications;2024-06

3. Intelligent computational offloading for mobile-edge server computing and hybrid optimal resource allocation;Multimedia Tools and Applications;2024-02-03

4. Online Self-Service Learning Platform for Application-Inspired Cloud Development and Operations (DevOps) Curriculum;IEEE Transactions on Learning Technologies;2024

5. A Systematic Mapping Study of UAV-Enabled Mobile Edge Computing for Task Offloading;IEEE Access;2024

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