Award Abstract # 1526152
NeTS: Small: Collaborative Research: The Ontology of Inter-Vehicle Networking with Spatio-Temporal Correlation and Spectrum Cognition

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: MICHIGAN TECHNOLOGICAL UNIVERSITY
Initial Amendment Date: September 15, 2015
Latest Amendment Date: September 15, 2015
Award Number: 1526152
Award Instrument: Standard Grant
Program Manager: Thyagarajan Nandagopal
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: October 1, 2015
End Date: September 30, 2018 (Estimated)
Total Intended Award Amount: $221,797.00
Total Awarded Amount to Date: $221,797.00
Funds Obligated to Date: FY 2015 = $138,481.00
History of Investigator:
  • Min Song (Principal Investigator)
    msong6@stevens.edu
Recipient Sponsored Research Office: Michigan Technological University
1400 TOWNSEND DR
HOUGHTON
MI  US  49931-1200
(906)487-1885
Sponsor Congressional District: 01
Primary Place of Performance: Michigan Technological University
1400 Townsend Dr.
Houghton
MI  US  49931-1295
Primary Place of Performance
Congressional District:
01
Unique Entity Identifier (UEI): GKMSN3DA6P91
Parent UEI: GKMSN3DA6P91
NSF Program(s): Networking Technology and Syst
Primary Program Source: 01001516DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7923
Program Element Code(s): 736300
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

It is predicted that there will be over 50 million self-driving cars on the road by 2035; the sheer number and density of vehicles have provided non-negligible resources for computing and communication in vehicular environments. In addition, vehicular communications are also driven by the demands and enforcement of intelligent transportation system (ITS) and standardization activities on DSRC and IEEE 802.11p/WAVE. Many applications, either time-sensitive or delay-tolerant have been proposed and explored, such as cooperative traffic monitoring and control, and recently extended for blind crossing, prevention of collision, real-time detour routes computation, and many others as defined by Car2Car Communication Consortium (C2CCC). Along with the popularity of (smart) mobile devices, there is also an explosion of mobile applications in various categories, including terrestrial navigation, mobile games, and social networking, through Apple's App store, Google Play, and Windows phonestore etc. Each aforementioned application seemingly is well-suited for either vehicle-to-vehicle (V2V) ad hoc networks or vehicle-to-infrastructure (V2I) communications. Therefore, vehicular networks have been playing an increasingly important role in promoting mobile applications, driving safety, network economy, and people's daily life.

In this project, a systematic investigation of vehicular networking properties, which is so called ontology of inter-vehicle communications, will be carried out to acquire in-depth scientific understanding and engineering guidelines that are critical to achieving theoretical performance limits and desirable services. This research includes four key innovative contributions: (i) the discovery of inter-vehicle networks composition by using spectrum cognition in finite and large-scale of V2V and V2I networks, (ii) the space and time domains correlations of vehicles on the move, and development of a set of dissemination strategies using a new constrained mobility model, (iii) detection and identification algorithms to achieve fast neighbor discovery using reinforcement learning, and case-based reasoning scheme; and (iv) theoretical limits of the coverage of messages by following the message trajectory in vehicle networks and schemes to achieve the maximum message coverage in both V2V and V2I networks. The results will advance the knowledge of opportunistic communications and facilitate engineering practice for much-needed applications in vehicular environments.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

Note:  When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

Ali Jalooli, Min Song, and Xiaohua Xu "Delay Efficient RSU Placement Algorithm for VANET Safety Applications" Proc. of the 2017 IEEE Wireless Communications and Networking Conference (WCNC) , 2017
Li Gou, Xiaohua Xu, Chongqing Zhang, and Min Song "Guaranteed Rendezvous for Cognitive Radio Networks Based on Cycle Length" IEEE/CIC International Conference on Communications in China (ICCC) , 2017
Peng Jiang, ChunSheng Xin, and Min Song "Disruption Aware Routing and Link Scheduling for Cognitive Radio Networks" Proc. of the International Conference on Computing, Networking and Communications (ICNC) , 2017

Please report errors in award information by writing to: awardsearch@nsf.gov.

Print this page

Back to Top of page