TY - GEN
T1 - Vehicular Edge of Thing Computing for Sustainable Smart IoT Services
AU - Tadros, Catherine Nayer
AU - Gad, Mohamed
AU - Mokhtar, Bassem Mahmoud
AU - Shimy, Mohamed El
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/14
Y1 - 2021/6/14
N2 - Due to the growing demand for the communication and computation of vehicular applications and services, the concept of Vehicular Edge Computing (VEC) was introduced a few years ago to increase its computing capacity. This brings cloud computing services in the processing and analysis of data close to the user, i.e. on the edge of the network. Nowadays with the new era of the Internet of Things (IoT), modern vehicles are envisioned as smart objects equipped with high numbers of sensors, actuators, control units, computing facilities, and storage capacity. The combination between these technologies is the rise of a new concept called Vehicular Edge of Things Computing (VEoTC). This paradigm improves a variety of location-based vehicular services and applications inside cities and reduces the traffic overload in the public communication network. In our research work, we study a simple simulation environment using the EdgeCloudSim simulator to clarify the VEoTC architecture. Our main goal is to investigate a more advanced simulator to simulate our proposed architecture in different scenarios in the future.
AB - Due to the growing demand for the communication and computation of vehicular applications and services, the concept of Vehicular Edge Computing (VEC) was introduced a few years ago to increase its computing capacity. This brings cloud computing services in the processing and analysis of data close to the user, i.e. on the edge of the network. Nowadays with the new era of the Internet of Things (IoT), modern vehicles are envisioned as smart objects equipped with high numbers of sensors, actuators, control units, computing facilities, and storage capacity. The combination between these technologies is the rise of a new concept called Vehicular Edge of Things Computing (VEoTC). This paradigm improves a variety of location-based vehicular services and applications inside cities and reduces the traffic overload in the public communication network. In our research work, we study a simple simulation environment using the EdgeCloudSim simulator to clarify the VEoTC architecture. Our main goal is to investigate a more advanced simulator to simulate our proposed architecture in different scenarios in the future.
KW - IoT
KW - SDN
KW - VEC
KW - Vehicular Edge of Things computing
UR - http://www.scopus.com/inward/record.url?scp=85119858511&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85119858511&partnerID=8YFLogxK
U2 - 10.1109/WF-IoT51360.2021.9595826
DO - 10.1109/WF-IoT51360.2021.9595826
M3 - Conference contribution
AN - SCOPUS:85119858511
T3 - 7th IEEE World Forum on Internet of Things, WF-IoT 2021
SP - 55
EP - 59
BT - 7th IEEE World Forum on Internet of Things, WF-IoT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE World Forum on Internet of Things, WF-IoT 2021
Y2 - 14 June 2021 through 31 July 2021
ER -