A Novel Cost-Efficient Framework for Critical Heartbeat Task Scheduling Using the Internet of Medical Things in a Fog Cloud System
Recently, there has been a cloud-based Internet of Medical Things (IoMT) solution offering different healthcare services to wearable sensor devices for patients. These services are global, and can be invoked anywhere at any place. Especially, electrocardiogram (ECG) sensors, such as Lead I and Lead...
Main Authors: | Qurat-ul-ain Mastoi, Teh Ying Wah, Ram Gopal Raj, Abdullah Lakhan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/2/441 |
Similar Items
-
Improved Performance and Cost Algorithm for Scheduling IoT Tasks in Fog–Cloud Environment Using Gray Wolf Optimization Algorithm
by: Naseem Adnan Alsamarai, et al.
Published: (2024-02-01) -
Latency-Aware Task Scheduling for IoT Applications Based on Artificial Intelligence with Partitioning in Small-Scale Fog Computing Environments
by: JongBeom Lim
Published: (2022-09-01) -
Scheduling Algorithms in Fog Computing: A Survey
by: Khaled Matrouk, et al.
Published: (2021-01-01) -
Resource Management Techniques in Cloud-Fog for IoT and Mobile Crowdsensing Environments
by: Abbas M. Ali Al-muqarm, et al.
Published: (2023-05-01) -
Analyzing Meta-Heuristic Algorithms for Task Scheduling in a Fog-Based IoT Application
by: Dadmehr Rahbari
Published: (2022-10-01)