Empowering Smart Cities with Fog Computing: A Versatile Framework for Enhanced Healthcare Services and Beyond

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Published: Oct 27, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i9.8363
Keywords:
Fog Computing, Internet of Things (IoT), E-Healthcare

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Priyanka Rajan Kumar
Department of Computer Science, Punjabi University, Patiala, Punjab, India
Sonia Goel
Department of Electronics and Communication Engineering, Punjabi University, Patiala, Punjab, India

Abstract

Fog Computing represents a distributed computing infrastructure strategically positioned at the network's edge, acting as an intermediate layer between remote cloud services and the data-generating smart devices on the ground. Leveraging this concept, a flexible and efficient smart city design emerges, offering a diverse range of applications, including smart healthcare, car parking, power management, water management, and waste management. The implementation of Fog computing enables reduced data processing latency and equitable workload distribution across fog nodes. The smart city system comprises several layers, namely connection, real-time processing, neighborhood linking, main processing, and data server layers. The flexibility of this framework allows for the scaling up or down of layers depending on specific smart city applications. In a case study focused on Smart healthcare services, the iFogSim platform was utilized to evaluate the system's performance. Notably, the results demonstrated a significant reduction in network usage, data processing latency, and processing costs when compared to traditional cloud computing solutions. Consequently, this improvement in efficiency translated into an enhanced user experience, offering superior scalability and reliability to users utilizing smart city services, including healthcare facilities.

Article Details

How to Cite
Kumar, P. R. ., & Goel, S. . (2023). Empowering Smart Cities with Fog Computing: A Versatile Framework for Enhanced Healthcare Services and Beyond. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 335–341. https://doi.org/10.17762/ijritcc.v11i9.8363
Issue
Vol. 11 No. 9 (2023)
Section
Articles

References

Gia TN, Jiang M, Rahmani AM, Westerlund T, Liljeberg P, Tenhunen H. Fog computing in healthcare internet of things: A case study on ECG feature extraction. In 2015 IEEE international conference on Computer and information technology; ubiquitous computing and Communications; Dependable, autonomic and secure Computing; pervasive intelligence and Computing 2015 Oct 26 (pp. 356-363). IEEE.

Kraemer FA, Braten AE, Tamkittikhun N, Palma D. Fog computing in healthcare–a review and discussion. IEEE Access. 2017 May 15;5: 9206-22.

Tang, B., Chen, Z., Hefferman, G., Pei, S., Wei, T., He, H., & Yang, Q. (2017). Incorporating intelligence in fog computing for big data analysis in smart cities. IEEE Transactions on Industrial Informatics, 13(5), 2140-2150. https://doi.org/10.1109/tii.2017.2679 740

Kumari A, Tanwar S, Tyagi S, Kumar N. Fog computing for healthcare 4.0 environment: Opportunities and challenges. Computers & Electrical Engineering. 2018 Nov 1;72: 1-3.

Negash B, Gia TN, Anzanpour A, Azimi I, Jiang M, Westerlund T, Rahmani AM, Liljeberg P, Tenhunen H. Leveraging fog computing for healthcare IoT. Fog computing in the internet of things: Intelligence at the edge. 2018:145-69.

Al-Khafajiy M, Webster L, Baker T, Waraich A. Towards fog driven IoT healthcare: challenges and framework of fog computing in healthcare. InProceedings of the 2nd international conference on future networks and distributed systems 2018 Jun 26 (pp. 1-7).

Mutlag AA, Abd Ghani MK, Arunkumar NA, Mohammed MA, Mohd O. Enabling technologies for fog computing in healthcare IoT systems. Future generation computer systems. 2019 Jan 1;90:62-78.

Awaisi KS, Hussain S, Ahmed M, Khan AA, Ahmed G. Leveraging IoT and fog computing in healthcare systems. IEEE Internet of Things Magazine. 2020 Jun 25;3(2):52-6.

de Moura Costa HJ, da Costa CA, da Rosa Righi R, Antunes RS. Fog computing in health: A systematic literature review. Health and Technology. 2020 Sep;10:1025-44.

Pareek K, Tiwari PK, Bhatnagar V. Fog computing in healthcare: A review. In IOP Conference Series: Materials Science and Engineering 2021 Mar 1 (Vol. 1099, No. 1, p. 012025). IOP Publishing.

Kaur J, Verma R, Alharbe NR, Agrawal A, Khan RA. Importance of fog computing in healthcare 4.0. Fog Computing for Healthcare 4.0 Environments: Technical, Societal, and Future Implications. 2021:79-101.

Elhadad A, Alanazi F, Taloba AI, Abozeid A. Fog computing service in the healthcare monitoring system for managing the real-time notification. Journal of Healthcare Engineering. 2022 Mar 15;2022.

Duhayyim MA, Al-Wesabi FN, Marzouk R, Abdalla Musa AI, Negm N, Hilal AM, Hamza MA, Rizwanullah M. Integration of Fog Computing for Health Record Management Using Blockchain Technology. Computers, Materials & Continua. 2022 May 1;71(2).

Khan S, Shah IA, Tairan N, Shah H, Nadeem MF. Optimal Resource Allocation in Fog Computing for Healthcare Applications. Computers, Materials & Continua. 2022 Jun 1;71(3).

Al Mudawi N. Integration of IoT and fog computing in healthcare based the smart intensive units. IEEE Access. 2022 Jun 2;10:59906-18.

Quy VK, Hau NV, Anh DV, Ngoc LA. Smart healthcare IoT applications based on fog computing: architecture, applications and challenges. Complex & Intelligent Systems. 2022 Oct;8(5):3805-15.

Wazid M, Das AK, Shetty S, Rodrigues JJ, Guizani M. AISCM-FH: AI-Enabled Secure Communication Mechanism in Fog Computing-Based Healthcare. IEEE Transactions on Information Forensics and Security. 2022 Nov 9;18:319-34.

El Kafhali S, El Mir I. Exploring the effectiveness of cloud, Internet of Things and fog computing for healthcare monitoring systems. InComputational Intelligence for Medical Internet of Things (MIoT) Applications 2023 Jan 1 (pp. 77-91). Academic Press.

Agnihotri AK, Gupta SK, Tiwari B. Healthcare Technology Evolution And Adoption Of Fog Computing In Healthcare: Review, Issue And Challenges. Journal of Pharmaceutical Negative Results. 2023 Jan 1:1419-28.

Thacker A, Gundu Hallur G. Fog computing in healthcare. InAIP Conference Proceedings 2023 Jan 30 (Vol. 2523, No. 1). AIP Publishing.

Ilyas A, Wajid SH, Kanwal N. A comprehensive Review on Fog computing and Healthcare. International Journal of Computational and Innovative Sciences. 2023 Mar 30;1(1):1-5.

Roy I, Mitra R, Rahimi N, Gupta B. Efficient Non-DHT-Based RC-Based Architecture for Fog Computing in Healthcare 4.0. IoT. 2023 May 10;4(2):131-49.

Hazra A, Rana P, Adhikari M, Amgoth T. Fog computing for next-generation internet of things: fundamental, state-of-the-art and research challenges. Computer Science Review. 2023 May 1;48:100549.

Mutlag AA, Abd Ghani MK, Mohd O, Abdulkareem KH, Mohammed MA, Alharbi M, Al-Araji ZJ. A new fog computing resource management (FRM) model based on hybrid load balancing and scheduling for critical healthcare applications. Physical Communication. 2023 Aug 1;59:102109.