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Toward QoS Monitoring in IoT Edge Devices Driven Healthcare-A Systematic Literature Review
Muhammad Irfan Younas1,2, Muhammad Jawed Iqbal2, Abdul Aziz3
1Department of Computer System Engineering, Sukkur IBA University, Sukkur 65200, Pakistan.
Sensors (Basel, Switzerland)
|November 14, 2023
Summary
This study explores Quality of Service (QoS) in smart healthcare applications, highlighting edge computing and AI to minimize latency. It offers solutions for improving QoS in IoT healthcare for better patient outcomes.
Area of Science:
- Smart healthcare systems integration
- Internet of Things (IoT) in healthcare
- Mobile and cloud computing applications
Background:
- Smart healthcare leverages IoT, mobile, and cloud computing to enhance healthcare delivery and information sharing.
- Low latency and rapid response times are critical for effective smart healthcare systems, especially during emergencies.
- Current systems face challenges with latency, potentially leading to adverse outcomes.
Approach:
- Focuses on Quality of Service (QoS) parameters like latency, jitter, and packet loss in smart healthcare infrastructure.
- Utilizes edge computing and artificial intelligence (AI) to address latency and response time issues.
- Employs a novel pre-Systematic Literature Review (SLR) method for keyword research and paper selection.
Key Points:
- Conducts an SLR on QoS improvement strategies for smart healthcare applications.
- Reviews existing QoS techniques and evaluates critical QoS measures in current healthcare apps.
- Examines QoS challenges in smart healthcare IoT applications.
Conclusions:
- Proposes solutions to overcome QoS delivery challenges in smart healthcare IoT applications.
- Aims to enhance overall healthcare services through improved QoS.
- Emphasizes the importance of QoS for reliable and efficient smart healthcare.
Keywords:
Internet of Things (IoT)artificial intelligence (AI)cloud computingmachine learningquality of servicesmart healthcareMore Related Videos
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