This dataset provides realistic Internet of Things (IoT) traffic time-series data generated using the novel Tiered Markov-Modulated Stochastic Process (TMMSP) framework. The dataset captures the unique temporal dynamics and stochastic characteristics of three distinct IoT applications: smart city, eHealth, and smart factory systems. Each application's traffic pattern reflects real-world behaviors including human-machine correlation (HMC), sudden data bursts, and application-specific seasonality patterns.

DOI Link: 
10.21227/5hyq-sw82
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[1] Dana Hajhussein, Mohamed Ibnkahla, "IoT Time-Series Traffic Data: Smart City, eHealth, and Smart Factory", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/5hyq-sw82. Accessed: Feb. 10, 2025.
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doi = {10.21227/5hyq-sw82},
url = {http://dx.doi.org/10.21227/5hyq-sw82},
author = {Dana Hajhussein; Mohamed Ibnkahla },
publisher = {IEEE Dataport},
title = {IoT Time-Series Traffic Data: Smart City, eHealth, and Smart Factory},
year = {2024} }
TY - DATA
T1 - IoT Time-Series Traffic Data: Smart City, eHealth, and Smart Factory
AU - Dana Hajhussein; Mohamed Ibnkahla
PY - 2024
PB - IEEE Dataport
UR - 10.21227/5hyq-sw82
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Dana Hajhussein, Mohamed Ibnkahla. (2024). IoT Time-Series Traffic Data: Smart City, eHealth, and Smart Factory. IEEE Dataport. http://dx.doi.org/10.21227/5hyq-sw82
Dana Hajhussein, Mohamed Ibnkahla, 2024. IoT Time-Series Traffic Data: Smart City, eHealth, and Smart Factory. Available at: http://dx.doi.org/10.21227/5hyq-sw82.
Dana Hajhussein, Mohamed Ibnkahla. (2024). "IoT Time-Series Traffic Data: Smart City, eHealth, and Smart Factory." Web.
1. Dana Hajhussein, Mohamed Ibnkahla. IoT Time-Series Traffic Data: Smart City, eHealth, and Smart Factory [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/5hyq-sw82
Dana Hajhussein, Mohamed Ibnkahla. "IoT Time-Series Traffic Data: Smart City, eHealth, and Smart Factory." doi: 10.21227/5hyq-sw82