TY - JOUR
T1 - Enabling pandemic-resilient healthcare
T2 - Narrowband Internet of Things and edge intelligence for real-time monitoring
AU - Islam, Md Motaharul
AU - Hasan, Mohammad Kamrul
AU - Islam, Shayla
AU - Balfaqih, Mohammed
AU - Alzahrani, Ahmed Ibrahim
AU - Alalwan, Nasser
AU - Safie, Nurhizam
AU - Bhuiyan, Zaheed Ahmed
AU - Thakkar, Rahul
AU - Ghazal, Taher M.
N1 - Publisher Copyright:
© 2024 The Authors. CAAI Transactions on Intelligence Technology published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and Chongqing University of Technology.
PY - 2024
Y1 - 2024
N2 - The Internet of Things (IoT) in deploying robotic sprayers for pandemic-associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things (NB-IoT) technology. The core objective is establishing a seamless data transmission pipeline that bridges these devices with the nearest base station. The associated data is routed directly from the edge computing infrastructure to the Cloud storage. The proposed architecture increases data security and optimises system performance by avoiding dependencies on central data centres. The critical components of this system allow the edge node to transmit data to the cloud, where primary data processing and analysis occur. The selection of NB-IoT as the underlying protocol facilitates real-time data collection and monitoring in healthcare with boosted capacity and coverage, extended battery life, and cost efficiency.
AB - The Internet of Things (IoT) in deploying robotic sprayers for pandemic-associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things (NB-IoT) technology. The core objective is establishing a seamless data transmission pipeline that bridges these devices with the nearest base station. The associated data is routed directly from the edge computing infrastructure to the Cloud storage. The proposed architecture increases data security and optimises system performance by avoiding dependencies on central data centres. The critical components of this system allow the edge node to transmit data to the cloud, where primary data processing and analysis occur. The selection of NB-IoT as the underlying protocol facilitates real-time data collection and monitoring in healthcare with boosted capacity and coverage, extended battery life, and cost efficiency.
KW - artificial intelligence techniques
KW - edge detection
KW - human-computer interfacing
KW - intelligent information processing
UR - https://www.scopus.com/pages/publications/85189517645
U2 - 10.1049/cit2.12314
DO - 10.1049/cit2.12314
M3 - Article
AN - SCOPUS:85189517645
SN - 2468-6557
JO - CAAI Transactions on Intelligence Technology
JF - CAAI Transactions on Intelligence Technology
ER -