Latency optimization approaches for healthcare Internet of Things and fog computing: A comprehensive review
The Healthcare Internet of Things (H-IoT) has made significant strides in transforming remote diagnostics, real-time monitoring, and data collection. However, achieving low latency remains a challenge, even for systems that critically depend on it, such as emergency response systems and remote surge...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2025-08-01
|
| Series: | Journal of Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/jisys-2024-0543 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849339592169226240 |
|---|---|
| author | Jaaz Zahraa A. Ezanee Bin Rusli Mohd Rahmat Nur Azzammudin Al-Adilee Maythem Kamal Abbas |
| author_facet | Jaaz Zahraa A. Ezanee Bin Rusli Mohd Rahmat Nur Azzammudin Al-Adilee Maythem Kamal Abbas |
| author_sort | Jaaz Zahraa A. |
| collection | DOAJ |
| description | The Healthcare Internet of Things (H-IoT) has made significant strides in transforming remote diagnostics, real-time monitoring, and data collection. However, achieving low latency remains a challenge, even for systems that critically depend on it, such as emergency response systems and remote surgeries. Fog computing (FC) emerges as a promising solution to mitigate latency issues by bringing computational resources closer to edge devices. This review provides a comprehensive analysis of latency optimization approaches within the H-IoT, framed within the context of FC. The study focuses on architectural enhancements, data communication methods, resource management strategies, and load distribution techniques aimed at reducing latency. Additionally, it evaluates existing challenges related to energy efficiency and trade-offs, security considerations, and scalability potential. Based on an analysis of recent advancements in the field, this study outlines potential development trends and future research directions for building adaptive, fast, and secure H-IoT systems. The study reaffirms the pivotal role of FC in shaping the future of healthcare services, particularly those with stringent low-latency requirements. |
| format | Article |
| id | doaj-art-b50910c646db4ae4a7839bb048da82e5 |
| institution | Kabale University |
| issn | 2191-026X |
| language | English |
| publishDate | 2025-08-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Journal of Intelligent Systems |
| spelling | doaj-art-b50910c646db4ae4a7839bb048da82e52025-08-20T03:44:06ZengDe GruyterJournal of Intelligent Systems2191-026X2025-08-013413093010.1515/jisys-2024-0543Latency optimization approaches for healthcare Internet of Things and fog computing: A comprehensive reviewJaaz Zahraa A.0Ezanee Bin Rusli Mohd1Rahmat Nur Azzammudin2Al-Adilee Maythem Kamal Abbas3College of Computing and Informatics, Universiti Tenaga Nasional, Selangor 59200, MalaysiaCollege of Computing and Informatics, Universiti Tenaga Nasional, Selangor 59200, MalaysiaCollege of Engineering, Universiti Tenaga Nasional, Selangor 59200, MalaysiaSchool of Computing, Asia Pacific University of Technology and Innovation (APU), Kuala Lumpur 57000, MalaysiaThe Healthcare Internet of Things (H-IoT) has made significant strides in transforming remote diagnostics, real-time monitoring, and data collection. However, achieving low latency remains a challenge, even for systems that critically depend on it, such as emergency response systems and remote surgeries. Fog computing (FC) emerges as a promising solution to mitigate latency issues by bringing computational resources closer to edge devices. This review provides a comprehensive analysis of latency optimization approaches within the H-IoT, framed within the context of FC. The study focuses on architectural enhancements, data communication methods, resource management strategies, and load distribution techniques aimed at reducing latency. Additionally, it evaluates existing challenges related to energy efficiency and trade-offs, security considerations, and scalability potential. Based on an analysis of recent advancements in the field, this study outlines potential development trends and future research directions for building adaptive, fast, and secure H-IoT systems. The study reaffirms the pivotal role of FC in shaping the future of healthcare services, particularly those with stringent low-latency requirements.https://doi.org/10.1515/jisys-2024-0543latencyfog computinghealthcarehealthcare internet of thingsinternet of thingsartificial intelligence |
| spellingShingle | Jaaz Zahraa A. Ezanee Bin Rusli Mohd Rahmat Nur Azzammudin Al-Adilee Maythem Kamal Abbas Latency optimization approaches for healthcare Internet of Things and fog computing: A comprehensive review Journal of Intelligent Systems latency fog computing healthcare healthcare internet of things internet of things artificial intelligence |
| title | Latency optimization approaches for healthcare Internet of Things and fog computing: A comprehensive review |
| title_full | Latency optimization approaches for healthcare Internet of Things and fog computing: A comprehensive review |
| title_fullStr | Latency optimization approaches for healthcare Internet of Things and fog computing: A comprehensive review |
| title_full_unstemmed | Latency optimization approaches for healthcare Internet of Things and fog computing: A comprehensive review |
| title_short | Latency optimization approaches for healthcare Internet of Things and fog computing: A comprehensive review |
| title_sort | latency optimization approaches for healthcare internet of things and fog computing a comprehensive review |
| topic | latency fog computing healthcare healthcare internet of things internet of things artificial intelligence |
| url | https://doi.org/10.1515/jisys-2024-0543 |
| work_keys_str_mv | AT jaazzahraaa latencyoptimizationapproachesforhealthcareinternetofthingsandfogcomputingacomprehensivereview AT ezaneebinruslimohd latencyoptimizationapproachesforhealthcareinternetofthingsandfogcomputingacomprehensivereview AT rahmatnurazzammudin latencyoptimizationapproachesforhealthcareinternetofthingsandfogcomputingacomprehensivereview AT aladileemaythemkamalabbas latencyoptimizationapproachesforhealthcareinternetofthingsandfogcomputingacomprehensivereview |