TY - JOUR
T1 - Future Communications and Energy Management in the Internet of Vehicles
T2 - Toward Intelligent Energy-Harvesting
AU - Wang, Xiaojie
AU - Ning, Zhaolong
AU - Hu, Xiping
AU - Wang, Lei
AU - Guo, Lei
AU - Hu, Bin
AU - Wu, Xinyu
N1 - Publisher Copyright:
© 2002-2012 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - As an emerging communication platform in the Internet of Things, IoV is promising to pave the way for the establishment of smart cities and provide support for various kinds of applications and services. Energy management in IoV has been attracting an upsurge of interest in both academia and industry. Currently, green IoV mainly focuses on two aspects: energy management of battery- enabled RSUs and EVs. However, these two issues are always resolved separately while ignoring their interactions. This standalone design may cause energy underutilization, a mismatch between traffic demands and energy supplies, as well as high deployment and sustainable costs for RSUs. Therefore, the integration of energy management between battery-enabled RSUs and EVs calls for comprehensive investigation. This article first provides an overview of several promising research fields for energy management in green IoV systems. Given the significance of efficient communications and energy management, we construct an intelligent energy-harvesting framework based on V2I communications in green IoV communication systems. Specifically, we develop a three-stage Stackelberg game to maximize the utilities of both RSUs and EVs in V2I communications. After that, a real-world trajectory-based performance evaluation is provided to demonstrate the effectiveness of our scheme. Finally, we identify and discuss some research challenges and open issues for energy management in green IoV systems.
AB - As an emerging communication platform in the Internet of Things, IoV is promising to pave the way for the establishment of smart cities and provide support for various kinds of applications and services. Energy management in IoV has been attracting an upsurge of interest in both academia and industry. Currently, green IoV mainly focuses on two aspects: energy management of battery- enabled RSUs and EVs. However, these two issues are always resolved separately while ignoring their interactions. This standalone design may cause energy underutilization, a mismatch between traffic demands and energy supplies, as well as high deployment and sustainable costs for RSUs. Therefore, the integration of energy management between battery-enabled RSUs and EVs calls for comprehensive investigation. This article first provides an overview of several promising research fields for energy management in green IoV systems. Given the significance of efficient communications and energy management, we construct an intelligent energy-harvesting framework based on V2I communications in green IoV communication systems. Specifically, we develop a three-stage Stackelberg game to maximize the utilities of both RSUs and EVs in V2I communications. After that, a real-world trajectory-based performance evaluation is provided to demonstrate the effectiveness of our scheme. Finally, we identify and discuss some research challenges and open issues for energy management in green IoV systems.
UR - http://www.scopus.com/inward/record.url?scp=85077206801&partnerID=8YFLogxK
U2 - 10.1109/MWC.001.1900009
DO - 10.1109/MWC.001.1900009
M3 - Article
AN - SCOPUS:85077206801
SN - 1536-1284
VL - 26
SP - 87
EP - 93
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
IS - 6
M1 - 8938189
ER -
