Towards minimizing delay and energy consumption in vehicular fog computing (VFC)

Author:

Hussain Muzakkir1,Saad Alam Mohammad2,Sufyan Beg M.M.1,Akhtar Nadeem1

Affiliation:

1. Department of Computer Engineering, Aligarh Muslim University, India

2. Department of Electrical Engineering, Aligarh Muslim University, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference24 articles.

1. Vehicular fog computing: Enabling real-time traffic management for smart cities;Ning;IEEE Wirel Commun,2019

2. Internet of things-aided Smart Grid: technologies, architectures, applications, prototypes, and future research directions;Saleem;IEEE Access,2019

3. Bitam S. and Mellouk. A. , Its-cloud: Cloud computing for intelligent transportation system. In 2012 IEEE global communications conference (GLOBECOM), pp. 2054–2059. IEEE, 2012.

4. Fog Computing for Internet of Things (IoT)-Aided Smart Grid Architectures;Hussain;Big Data and cognitive computing,2019

5. Internet of vehicles: Motivation, layered architecture, network model, challenges, and future aspects;Kaiwartya;IEEE Access,2016

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1. Modeling and Optimization of Vehicular Fog Network Towards Minimizing Latency;Mobile Networks and Applications;2023-08-08

2. A Lightweight Energy-Efficient Technique for QoS Enhancement in Urban VFC for Intelligent Transportation System;Journal of Network and Systems Management;2023-07-26

3. SONG: A Multi-Objective Evolutionary Algorithm for Delay and Energy Aware Facility Location in Vehicular Fog Networks;Sensors;2023-01-06

4. Toward Failure-Aware Energy-Efficient Service Provisioning in Vehicular Fog Computing;GLOBECOM 2022 - 2022 IEEE Global Communications Conference;2022-12-04

5. Failure-Tolerant Task Offloading for Vehicular Fog Computing;2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta);2022-12

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