TY - GEN
T1 - Age of Information Optimization for Multi-Hop VLC/RF IoT Sensor Networks
AU - Khodi, Hossein
AU - Azmi, Paeiz
AU - Mokari, Nader
AU - Javan, Mohammadreza
AU - Saeedi, Hamid
AU - Uysal, Murat
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper presents an analysis of the Age of Information (AoI) in a wireless sensor network consisting of multiple IoT sensors. This network consists of three nodes: a wireless power source (WPS), sensors, and an access point (AP). We exploit hybrid visible light communication/radio frequency (VLC/RF) for the sensors with the orthogonal frequency bands. Power domain non-orthogonal multiple access (PD-NOMA) and successive interference cancellation (SIC) are also adopted for the sensors and the AP. Finally, we present two main optimization problems for average AoI with the sensor's transmit power constraint. We analyze the average AoI in a hybrid VLC/RF network, and we obtain the global optimum value for the average AoI of each sensor by considering the probability of sensors being charged, the probability of choosing the links, calculating the probability of successful decoding. According to the optimization results based on the Particle Swarm Optimization (PSO) method, the average AoI for each sensor and the total average AoI in the proposed system are reduced by 10% and 15%, respectively.
AB - This paper presents an analysis of the Age of Information (AoI) in a wireless sensor network consisting of multiple IoT sensors. This network consists of three nodes: a wireless power source (WPS), sensors, and an access point (AP). We exploit hybrid visible light communication/radio frequency (VLC/RF) for the sensors with the orthogonal frequency bands. Power domain non-orthogonal multiple access (PD-NOMA) and successive interference cancellation (SIC) are also adopted for the sensors and the AP. Finally, we present two main optimization problems for average AoI with the sensor's transmit power constraint. We analyze the average AoI in a hybrid VLC/RF network, and we obtain the global optimum value for the average AoI of each sensor by considering the probability of sensors being charged, the probability of choosing the links, calculating the probability of successful decoding. According to the optimization results based on the Particle Swarm Optimization (PSO) method, the average AoI for each sensor and the total average AoI in the proposed system are reduced by 10% and 15%, respectively.
KW - Age of Information
KW - IoT sensor
KW - Non-orthogonal Multiple Access
KW - Visible Light Communication
UR - http://www.scopus.com/inward/record.url?scp=85198851936&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85198851936&partnerID=8YFLogxK
U2 - 10.1109/WCNC57260.2024.10570919
DO - 10.1109/WCNC57260.2024.10570919
M3 - Conference contribution
AN - SCOPUS:85198851936
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2024 IEEE Wireless Communications and Networking Conference, WCNC 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE Wireless Communications and Networking Conference, WCNC 2024
Y2 - 21 April 2024 through 24 April 2024
ER -