Cognitive Radio Enabled Vehicular Communications for Intelligent Transportation Systems
Primary Faculty Mentor’s Name
Danda B. Rawat
Proposal Track
Student
Session Format
Poster
Abstract
Recent studies have shown traffic accidents and congestion are one of the major problems being faced in the US and all over the world. According to US Department of Transportation, road accidents and traffic jams result in over a billion dollars in lost work hours and fuel. In the US alone, 1 person dies every 15 minutes due to road accidents according to US National Highway Traffic Safety Administration. With the implementation of real-time information dissemination techniques using wireless networks, it is expected to help reduce road accidents and fuel consumption by providing timely information. Wireless communication is regarded as a backbone for the Intelligent Transportation System (ITS) to provide upcoming traffic information for safety and to support infotainment applications for passengers. However, development of wireless communication technology for real-time vehicular communications with low latency/delay (in millisecond or microsecond) is still in its early stages. Furthermore, vehicular networks could easily be jammed by malicious users if only dedicated communication channels are used for legitimate communications. To prevent this, the cognitive radio network for spectrum-agile communications has been proposed and is regarded as a robust and secure communication technology for vehicular communications since wireless devices used in vehicular communications can hop from jammed channels to idle channels on the fly to avoid jamming or eavesdropping. In this work, we will present the cognitive radio network for vehicular communications where vehicle users adapt their wireless channels dynamically from IEEE 802.11p to 802.11n to 802.11g/b/a to TV networks and vice versa based upon their operating wireless environment without creating any harmful interference to licensed/primary users. The proposed approach will be illustrated with numerical results obtained from experiments. The research results include hopping pattern of wireless communication to avoid jamming attacks in VANETs, improved spectrum utilization by comparing ‘static’ with ‘spectrum-agile’ communications, and improved overall ‘throughput/output’ of ‘spectrum-agile’ communications over ‘static’ one.
Keywords
Wireless communication in vehicular networks, Vehicular communications
Location
Concourse/Atrium
Presentation Year
2014
Start Date
11-15-2014 9:40 AM
End Date
11-15-2014 10:55 AM
Publication Type and Release Option
Presentation (Open Access)
Recommended Citation
source:http://digitalcommons.georgiasouthern.edu/gurc/2014/2014/59/
Cognitive Radio Enabled Vehicular Communications for Intelligent Transportation Systems
Concourse/Atrium
Recent studies have shown traffic accidents and congestion are one of the major problems being faced in the US and all over the world. According to US Department of Transportation, road accidents and traffic jams result in over a billion dollars in lost work hours and fuel. In the US alone, 1 person dies every 15 minutes due to road accidents according to US National Highway Traffic Safety Administration. With the implementation of real-time information dissemination techniques using wireless networks, it is expected to help reduce road accidents and fuel consumption by providing timely information. Wireless communication is regarded as a backbone for the Intelligent Transportation System (ITS) to provide upcoming traffic information for safety and to support infotainment applications for passengers. However, development of wireless communication technology for real-time vehicular communications with low latency/delay (in millisecond or microsecond) is still in its early stages. Furthermore, vehicular networks could easily be jammed by malicious users if only dedicated communication channels are used for legitimate communications. To prevent this, the cognitive radio network for spectrum-agile communications has been proposed and is regarded as a robust and secure communication technology for vehicular communications since wireless devices used in vehicular communications can hop from jammed channels to idle channels on the fly to avoid jamming or eavesdropping. In this work, we will present the cognitive radio network for vehicular communications where vehicle users adapt their wireless channels dynamically from IEEE 802.11p to 802.11n to 802.11g/b/a to TV networks and vice versa based upon their operating wireless environment without creating any harmful interference to licensed/primary users. The proposed approach will be illustrated with numerical results obtained from experiments. The research results include hopping pattern of wireless communication to avoid jamming attacks in VANETs, improved spectrum utilization by comparing ‘static’ with ‘spectrum-agile’ communications, and improved overall ‘throughput/output’ of ‘spectrum-agile’ communications over ‘static’ one.
