LoRa Cloud-based platform for Internet of Things Applications

Gassara, Mouna; Elleuchi, Manel; Abid, Mohamed

doi:10.1109/iemtronics52119.2021.9422531

Cited by 1 publication

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [13], lower and upper limits on Bhattacharyya parameters were selected to develop competitive channel codes. Boutros and Biglieri [14] detailed the coding procedures for the radio frequency (RF) channel with realized channel state data at the two ends of the connection with known channel dissemination data. Another example on TELKOMNIKA Telecommun Comput El Control  Medium access in cloud-based for the internet of things based on … (Yassine Sabri) 283 investigating the coding for block-fading channels can be found in [15].…”

Section: Related Workmentioning

confidence: 99%

Medium access in cloud-based for the internet of things based on mobile vehicular infrastructure

Sabri

Kamoun

2023

TELKOMNIKA

View full text Add to dashboard Cite

Smart cities are made up of a large number of smart, intelligent gadgets that can sense, compute, act, and communicate. Focusing on how data is transferred between sensory devices and applications in the internet of things (IoT), and cyber-physical systems have led to 5G/IoT integration. This paper proposes a revolutionary architecture for mobile vehicular cloud infrastructure that takes variable weather, road, and traffic circumstances into consideration. It proposes a dynamic speed management system for smart cities. To optimize system flexibility and reduce costs, the system makes advantage of the most recent advancements in wireless communication and utilizes current telecommunication infrastructures utilized in data streaming, sound, and video. The study presents an internet protocol (IP) real-time subsystem-network-based framework for requesting bandwidth from free wireless channel resources using the channell quality indicator channel.

show abstract

Section: Related Workmentioning

confidence: 99%