An edge AI-enabled IoT healthcare monitoring system for smart cities

Vipin Kumar Rathi, Nikhil Kumar Rajput, Shubham Mishra, Bhavya Ahuja Grover, Prayag Tiwari, Amit Kumar Jaiswal, M. Shamim Hossain*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)


Healthcare systems have significantly benefited from Artificial Intelligence (AI) and the Internet of Things (IoT). The vital signs of patients can be continuously monitored using the technologies mentioned above, and timely treatment can be provided. To this end, this paper proposes a scalable, responsive, and reliable AI-enabled IoT and edge computing-based healthcare solution with low latency when serving patients. The system comprises the collection of health-related data, data processing and analysis at edge nodes, and permanent storage and sharing at edge data centers. The edge nodes and edge controller schedule patients and provide resources in real time. Simulations were conducted to test system performance. The results for end-to-end time, computing, optimization, and transmission latency prove to be very promising. To determine system performance in a real-world scenario, a neural network was used to model transmission latency. The system is extremely useful for those who are disabled or elderly, as well as in pandemic situations.

Original languageEnglish
Article number107524
Number of pages12
JournalComputers and Electrical Engineering
Publication statusPublished - Dec 2021
MoE publication typeA1 Journal article-refereed


  • AI-enabled IoT
  • IoT edge
  • Multi-access edge computing
  • Smart city
  • Smart healthcare


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