Optimizing Internet of Things Fog Computing: Through Lyapunov-Based Long Short-Term Memory Particle Swarm Optimization Algorithm for Energy Consumption Optimization
In the era of continuous development in Internet of Things (IoT) technology, smart services are penetrating various facets of societal life, leading to a growing demand for interconnected devices. Many contemporary devices are no longer mere data producers but also consumers of data. As a result, ma...
Main Authors: | Sheng Pan, Chenbin Huang, Jiajia Fan, Zheyan Shi, Junjie Tong, Hui Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-02-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/24/4/1165 |
Similar Items
-
Resource Scheduling and Energy Consumption Optimization Based on Lyapunov Optimization in Fog Computing
by: Chenbin Huang, et al.
Published: (2022-05-01) -
Fog Computing and the Internet of Things: A Review
by: Hany F. Atlam, et al.
Published: (2018-04-01) -
DualFog-IoT: Additional Fog Layer for Solving Blockchain Integration Problem in Internet of Things
by: Raheel Ahmed Memon, et al.
Published: (2019-01-01) -
Intelligent Computing Collaboration for the Security of the Fog Internet of Things
by: Hong Zhao, et al.
Published: (2023-04-01) -
Green Fog Planning for Optimal Internet-of-Thing Task Scheduling
by: Zhiming He, et al.
Published: (2020-01-01)