Efficient data transfer in edge envisioned environment using artificial intelligence based edge node algorithm-Reference-Cited by-同舟云学术

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Efficient data transfer in edge envisioned environment using artificial intelligence based edge node algorithm

Published:2020-09-16 Issue:6 Volume:32 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Kumar V. D. Ambeth¹^ORCID,Kumar Abhishek²^ORCID,Batth Ranbir Singh³^ORCID,Rashid Mamoon³^ORCID,Gupta Sachin Kumar⁴^ORCID,Raghuraman Manish¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Panimalar Engineering College Anna University Chennai India

2. School of Computer Science and IT JAIN (Deemed to be University) Bangalore India

3. School of Computer Science & Engineering Lovely Professional University Jalandhar India

4. School of Electronics and Communication Engineering Shri Mata Vaishno Devi University Katra India

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4110

Reference62 articles.

1. LiE ZhouZ ChenX. Edge intelligence: on‐demand deep learning model co‐inference with device‐edge synergy. Paper presented at: Proceedings of the 2018 Workshop on Mobile Edge Communications;2018:31–36.

2. Tacashi: trust‐aware communication architecture for social Internet of Vehicles;Kerrache CA;IEEE Internet Things J,2018

3. Advances in position‐based routing towards ITS enabled fog‐oriented VANET: a survey;Ullah A;IEEE Trans Intell Transp Syst,2019

4. Vehicular sensing networks in a smart city: principles, technologies and applications;Wang J;IEEE Wirel Commun,2017

5. Joint load balancing and offloading in vehicular edge computing and networks;Dai Y;IEEE Internet Things J,2018

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