Alatoun, K.; Matrouk, K.; Mohammed, M.A.; Nedoma, J.; Martinek, R.; Zmij, P.
A Novel Low-Latency and Energy-Efficient Task Scheduling Framework for Internet of Medical Things in an Edge Fog Cloud System. Sensors 2022, 22, 5327.
https://doi.org/10.3390/s22145327
AMA Style
Alatoun K, Matrouk K, Mohammed MA, Nedoma J, Martinek R, Zmij P.
A Novel Low-Latency and Energy-Efficient Task Scheduling Framework for Internet of Medical Things in an Edge Fog Cloud System. Sensors. 2022; 22(14):5327.
https://doi.org/10.3390/s22145327
Chicago/Turabian Style
Alatoun, Kholoud, Khaled Matrouk, Mazin Abed Mohammed, Jan Nedoma, Radek Martinek, and Petr Zmij.
2022. "A Novel Low-Latency and Energy-Efficient Task Scheduling Framework for Internet of Medical Things in an Edge Fog Cloud System" Sensors 22, no. 14: 5327.
https://doi.org/10.3390/s22145327
APA Style
Alatoun, K., Matrouk, K., Mohammed, M. A., Nedoma, J., Martinek, R., & Zmij, P.
(2022). A Novel Low-Latency and Energy-Efficient Task Scheduling Framework for Internet of Medical Things in an Edge Fog Cloud System. Sensors, 22(14), 5327.
https://doi.org/10.3390/s22145327