DOI
10.9781/ijimai.2022.08.005
Abstract
The recent advancements in the Internet of Things (IoT) and Wireless Multimedia Sensor Networks (WMSN) made high-speed multimedia streaming, data processing, and essential analytics processes with minimal delay. Multimedia sensors used in WMSN-based surveillance applications are beneficial helpful in attaining accurate and elaborate details. However, it has become essential to design an effective and lightweight solution for data traffic management in WMSN owing to the massive quantities of data, generated by multimedia sensors.
Source Publication
International Journal of Interactive Multimedia and Artificial Intelligence
Recommended Citation
Mansour, Romany F.; Soto, Carlos; Soto-Díaz, Roosvel; Gutierrez, José Escorcia; Gupta, Deepak; and Khanna, Ashish
(2022)
"Design of Integrated Artificial Intelligence Techniques for Video Surveillance on IoT Enabled Wireless Multimedia Sensor Networks,"
International Journal of Interactive Multimedia and Artificial Intelligence: Vol. 7:
Iss.
5, Article 6.
DOI: 10.9781/ijimai.2022.08.005
Available at:
https://ijimai.researchcommons.org/ijimai/vol7/iss5/6
