TY - GEN
T1 - Vehicular cloud data collection for Intelligent Transportation Systems
AU - Chaqfeh, Moumena
AU - Mohamed, Nader
AU - Jawhar, Imad
AU - Wu, Jie
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/2
Y1 - 2017/3/2
N2 - The Internet of Things (IoT) envisions to connect billions of sensors to the Internet, in order to provide new applications and services for smart cities. IoT will allow the evolution of the Internet of Vehicles (IoV) from existing Vehicular Ad hoc Networks (VANETs), in which the delivery of various services will be offered to drivers by integrating vehicles, sensors, and mobile devices into a global network. To serve VANET with computational resources, Vehicular Cloud Computing (VCC) is recently envisioned with the objective of providing traffic solutions to improve our daily driving. These solutions involve applications and services for the benefit of Intelligent Transportation Systems (ITS), which represent an important part of IoV. Data collection is an important aspect in ITS, which can effectively serve online travel systems with the aid of Vehicular Cloud (VC). In this paper, we involve the new paradigm of VCC to propose a data collection model for the benefit of ITS. We show via simulation results that the participation of low percentage of vehicles in a dynamic VC is sufficient to provide meaningful data collection.
AB - The Internet of Things (IoT) envisions to connect billions of sensors to the Internet, in order to provide new applications and services for smart cities. IoT will allow the evolution of the Internet of Vehicles (IoV) from existing Vehicular Ad hoc Networks (VANETs), in which the delivery of various services will be offered to drivers by integrating vehicles, sensors, and mobile devices into a global network. To serve VANET with computational resources, Vehicular Cloud Computing (VCC) is recently envisioned with the objective of providing traffic solutions to improve our daily driving. These solutions involve applications and services for the benefit of Intelligent Transportation Systems (ITS), which represent an important part of IoV. Data collection is an important aspect in ITS, which can effectively serve online travel systems with the aid of Vehicular Cloud (VC). In this paper, we involve the new paradigm of VCC to propose a data collection model for the benefit of ITS. We show via simulation results that the participation of low percentage of vehicles in a dynamic VC is sufficient to provide meaningful data collection.
KW - Intelligent Transportation Systems (ITS)
KW - Internet of Vehicles (IoV)
KW - Vehicular Ad hoc Networks (VANETs)
KW - Vehicular Cloud (VC)
UR - http://www.scopus.com/inward/record.url?scp=85017156925&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017156925&partnerID=8YFLogxK
U2 - 10.1109/SCNS.2016.7870555
DO - 10.1109/SCNS.2016.7870555
M3 - Conference contribution
AN - SCOPUS:85017156925
T3 - 2016 3rd Smart Cloud Networks and Systems, SCNS 2016
BT - 2016 3rd Smart Cloud Networks and Systems, SCNS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd Smart Cloud Networks and Systems, SCNS 2016
Y2 - 19 December 2016 through 21 December 2016
ER -