IEEE INTERNET OF THINGS JOURNAL
A joint publication of
IEEE Sensors Council, IEEE Communications Society, IEEE Computer Society, and IEEE Signal Processing Society
CALL FOR PAPERS
IEEE Internet of Things Journal Special Issue on
Internet of Vehicles (IoV)
The new era of Internet of Things (IoT) is driving the evolution of conventional Vehicle Ad hoc Networks (VANET) into the
Internet of Vehicles (IoV) paradigm. According to recent predictions, 25 billion of “things” will be connected to the Internet
by 2020 among which vehicles will constitute a significant portion. The difference of the vehicle concept in VANET and IoV
makes these two scenarios essentially different in the device, communications, networking, and services aspects. In
VANET, a vehicle is mainly considered as a node to disseminate messages among vehicles. In the IoV paradigm, each
vehicle is considered as a smart object equipped with a powerful multi-sensor platform, communications technologies,
computation units, IP-based connectivity to the Internet and to other vehicles either directly or indirectly. In addition, a
vehicle in IoV is envisioned as a multi-communication model, enabling the interactions between intra-vehicle components,
vehicles and vehicles, vehicles and road, and vehicles and people. IoV enables the acquistion and processing of large
amount of data from versatile geographical areas via intelligent vehicles computing platforms to offer various categories of
services for road safety and other services to drivers and passengers.
There are many unprecedented challenges to realize IoV. A typical challenge is the big data processing and storage in IoV
due to huge number of connected vehicles. Personal cloud and mobile cloud computing are envisioned to play important
roles in dealing with the big data. The seamless integration of the social context into IoV is a promising approach as well as
an important question to achieve green transport. In addition, the wide penetration of electrical vehicles in the near future
will demand a very careful consideration on the intelligent interactions between IoV and the smart grid. Here, the
interactions are not limited to the communications and computation, but the power load scheduling within the demand
response management framework in the Vehicle-to-Grid (V2G) network. All these issues are being studied in academics,
industries, and standardization organizations.
This special issue is seeking original contributions on IoV, sharing the research efforts and deployment challenges in this
area and discussing IoV challenges, key enabling techniques, platforms and field trails. Topics of interests include (but are
not limited to):
 IoV architectures and services
 Dynamic spectrum access technologies in IoV
 Vehicle-to-Grid (V2G) communications
 IoV for efficient and green transportation
 V2G efficient demand response management
 Urban sensing for environment monitoring
 Vehicle social networks for IoV
 Security, privacy and trust in IoV
 Mobile cloud computing for IoV
 Novel applications and business models
 Efficient big data analysis for IoV
 Testbed platform and field trials
 Mobile sensing networking in IoV
 New network technologies for efficient service
provision (e.g., content-centric network)
 Driverless vehicles and supporting technologies
Important Dates
Submissions Deadline: May 1st 2014
Revision Due: September1st 2014
Final Manuscript Due: October 20th 2014
First Reviews Due: August 1st 2014
Second Reviews Due/Notification: October 1st 2014
Publication Date: December 2014
Submission
The special issue seeks submission of papers that present novel original results and findings on IoV. Solicited original
submissions must not be currently under consideration for publication in other venues. Author guidelines and submission
information can be found at http://iot.ieee.org/journal. All manuscripts should be submitted through Manuscript Central:
http://mc.manuscriptcentral.com/iot.
Guest Editors


Dr. Hassnaa Moustafa, Intel, USA.
Email: hassnaa.moustafa@intel.com
Prof. Giovanni Pau, UCLA, USA & UPMC, France.
Email: gpau@cs.ucla.edu


Dr. Fan Bai, General Motors R & D, USA.
Email: fan.bai@gm.com
Prof. Yan Zhang, Simula Research Laboratory, Norway.
Email: yanzhang@simula.no