Project Summary

The mandate of the US Department of Transportation (DoT) on light-weight vehicles to be equipped with communication capability for intelligent traffic control and safe driving results in a tremendous interest in developing connected vehicles (CV) technology. However, US DoT has not specified what kinds of communication devices with what level of capability are to be installed. Under the premise that more powerful communication devices with higher computational capability and more storage capacity are deployed in vehicles, this project aims to carry out a proof-of-concept study on this emerging network consisting of vehicles with powerful devices. By considering "unlimited" power supplies from vehicles and relatively "regular" vehicular mobility, the project seeks to demonstrate that vehicles with such more powerful capability offer an emerging viable data transportation network to complement existing telecommunications systems. The proposed research potentially leads to further development of innovative technologies in leveraging vehicles to transport exponentially increasing data traffic from various emerging Internet of Things (IoT) systems and smart cities applications.

Specifically, this one-year project aims to demonstrate how to leverage light-weight vehicles equipped with powerful cognitive radio (CR) routers with high computational capability and relatively large storage capacity to perform spectrum sensing, processing and storing data, making intelligent decisions, and opportunistically transporting data for emerging IoT systems and smart cities applications. To achieve this goal, the project plans to design a flexible and agile cognitive network architecture to effectively take advantage of the added capability in vehicles. Under this architecture, a suite of spectrum management mechanisms will be developed from both access point of view and end-to-end service perspective. Delay-tolerant traffic will shift to this emerging network where harvested licensed or unlicensed spectrum can be used to opportunistically store-carry-forward data traffic. By designing various kinds of opportunistic data offloading mechanisms, the project seeks to explore the effectiveness of such a data transportation network.

Personnel

Principal Investigators

• Yuguang Fang, University of Florida, Leading PI
  

Graduate Students

• Xiahao Chen, University of Florida, Ph.D student
• Lan Zhang, University of Florida, Ph.D student
• Xiahao Chen, University of Florida, Ph.D student
• Yawei Pang, University of Florida, Ph.D student
• Di Han, Tsinghua University, Visiting Ph.D student
• Jianqing Liu, University of Florida, Ph.D student (Graduated in August 2018 and is now an Assistant Professor with ECE at University of Alabama at Huntsville)

Publications

Copyright Notice

Papers downloadable on this page are under copyright protection. Please read and conform to all applicable copyright laws. Most downloadable papers are in PDF format, which can be viewed by PDF reader freely available from Adobe. Your comments are always welcome, please drop me a line at fang@ece.ufl.edu

Papers in Refereed Journals or Magazines

1. S. Lin, H. Ding, Y. Fang and J. Shi, "Energy-efficient D2D communications with dynamic time-resource allocation," Accepted for publication in IEEE Transactions on Vehicular Technology.
2. S. Lin, Y. Li, H. Ding, Y. Fang and J. Shi, "Performance optimization for D2D communications with opportunistic relay and physical-layer network coding," Accepted for publication in IEEE Transactions on Vehicular Technology.
3. L. Zhang, L. Yan, Fang, X. Fang and X. Huang, "A machine learning based defensive alerting system against reckless driving in vehicular networks," Accepted for publication in IEEE Transactions on Vehicular Technology.
4. X. Li, H. Ding and Y. Fang, "A data-driven cost-effective session-oriented cognitive radio transmission scheme under spectrum uncertainty," Accepted for publication in IEEE Transactions on Vehicular Technology.
5. X. Li, H. Ding, M. Pan, J. Wang, H. Zhang and Y. Fang, "Statistical {QoS} provisioning over uncertain shared spectrums in cognitive IoT networks: a distributionally robust data-driven approach," Accepted for publication in IEEE Transactions on Vehicular Technology.
6. H. Ding, Y. Guo, X. Li and Y. Fang, "Beef up the edge: spectrum-aware placement of edge computing services for the Internet of Things," IEEE Transactions on Mobile Computing, vol.18, no.12, pp.2783-2795, December 2019.
7. P. Huang, L. Guo, M. Li and Y. Fang, "Practical privacy-preserving ECG-based authentication for IoT-based healthcare," IEEE Internet of Things Journal, vol.6, no.5, pp.2327-4662, October 2019.
8. B. Feng, C. Zhang, J. Liu and Y. Fang, " D2D communications assisted traffic offloading in integrated cellular-WiFi networks," IEEE Internet of Things Journal, vol.6, no.5, pp.8670-8680, October 2019.
9. D. Han, W. Chen, B. Bai and Y. Fang, "Offloading optimization and bottleneck analysis for mobile cloud computing," IEEE Transactions on Communications, vol.67, no.9, pp.6153-6167, September 2019.
10. X. Zhang, P. Huang, L. Guo and Y. Fang, "Social-aware energy-efficient data offloading with strong stability," IEEE/ACM Transactions on Networking, vol.27, no.4, pp.1515-1528, August 2019.
11. B. Feng, C. Zhang, H. Ding and Y. Fang, "Exploiting wireless broadcast advantage for energy efficient packet overhearing in WiFi," IEEE Transactions on Vehicular Technology, vol.68, no.4, pp.3586-3599, April 2019.
12. P. Zhou, X. Fang, Y. Fang, R. He, Y. Long and G. Huang, "Beam management and self-healing for mmWave UAV mesh networks,'' IEEE Transactions on Vehicular Technology, vol.68, no.2, pp.1718-1732, February 2019.
13. H. Ding, X. Li, Y. Cai, B. Lorenzo and Y. Fang, "Intelligent data transportation in smart cities: a spectrum-aware approach," IEEE/ACM Transactions on Networking, vol.26, no.6, pp.2598-2611, December 2018.
14. H. Ding and Y. Fang, "Virtual infrastructure at traffic lights: vehicular temporary storage assisted data transportation at signalized intersections," IEEE Transactions on Vehicular Technology, vol.67, no.12, pp.12452-12456, December 2018.
15. P. Zhou, K. Cheng, X. Han, X. Fang, Y. Fang, R. He, Y. Long and Y. Liu, "IEEE 802.11ay based mmWave WLANs: challenges and possible solutions," IEEE Communications Surveys and Tutorials, vol.20, no.3, pp.1654-1681, Third Quarter 2018.
16. H. Ding, C. Zhang, B. Lorenzo and and Y. Fang, "Access point recruitment in a vehicular cognitive capability harvesting network: how much data can be uploaded?," IEEE Transactions on Vehicular Technology, vol.67, no.7, pp.6438-6445, July 2018.
17. L. Yan, X. Fang and Y. Fang, "Stable beamforming with low overhead for C/U-plane decoupled HSR wireless networks," IEEE Transactions on Vehicular Technology, vol.67, no.7, pp.6075-6086, July 2018.
18. B. Lorenzo, A. Shams Shafigh, J. Liu, F. J. Gonzalez-Castano and Y. Fang, "Data and spectrum trading policies in a trusted cognitive dynamic network architecture," IEEE/ACM Transactions on Networking, vol.26, no.3, pp.1502-1516, June 2018.
19. H. Ding, C. Zhang, Y. Cai and Y. Fang, "Smart cities on wheels: a newly emerging vehicular cognitive capability harvesting network for data transportation," IEEE Wireless Communications, vol.25, no.2, pp.160-169, April 2018.
20. P. Zhou, X. Fang, Y. Fang, Y. Long, R. He and X. Han, "Enhanced random access and beam training for mmWave wireless local area networks with high user density," IEEE Transactions on Wireless Communications, vol.16, no.12, pp.7760-7773, December 2017.

Papers in Refereed Conferences

1. X. Chen, L. Zhang, B. Lin and Y. Fang, "Delay-aware incentive mechanism for crowdsourcing with vehicles in smart cities," IEEE Globecom, Waikoloa, HI, USA, December 9-13, 2019.
2. L. Zhang, X. Chen, Y. Fang, X. Huang and X. Fang, "Learning-based mmWave V2I environment augmentation through tunable reflectors," IEEE Globecom, Waikoloa, HI, USA, December 9-13, 2019.
3. L. Zhang, L. Yan, B. Lin, Y. Fang and X. Fang, "Tunable reflectors enabled environment augmentation for better mmWave WLANs," IEEE/CIC International Conference on Communications in China (ICCC), Changchun, Jilin, China, August 11-13, 2019.
4. X. Zhang, P. Huang, L. Guo and Y. Fang, "Hide and seek: waveform emulation attack and defense in cross-technology communication," The 39th IEEE International Conference on Distributed Computing Systems (ICDCS'2019), Dallas, Texas, USA, July 7-10, 2019.
5. L. Zhang, L. Yan, Y. Pang and Y. Fang, "FRESH: FReshness-aware Energy-efficient ScHeduler for cellular IoT systems," IEEE International Conference on Communications (ICC'2019), Shanghai, China, May 20-24, 2019.
6. X. Li, H. Ding, M. Pan, J. Wang, H. Zhang and Y. Fang, "Data-driven service provisioning over shared spectrums with statistical QoS guarantee," IEEE Wireless Communications and Networking Conference (WCNC'2019), Marrakech, Morocco, April 15-18, 2019.
7. D. Han, W. Chen, J. Liu and Y. Fang, "A probabilistic scheduling policy for energy efficient UAV communications with delay constraints," IEEE International Global Communications (Globecom) , Abu Dhabi, UAE, December 9-13, 2018.
8. D. Han, W. Chen and Y. Fang, "Power-optimal scheduling for delay constrained mobile computation offloading," IEEE International Conference on Communications (ICC) , Kansas City, Missouri, USA, May 20-24, 2018.

Outreach and Education Activities for Broader Impact

Course Development

Student Mentoring

Research Dissemination

Talks/Seminars

1. "Vehicles as a Service (VaaS): The Convergence of Communications, Computing, Storage and Intelligence (CCSI)," Keynote, 2019 International Conference on Image Processing and Machine Vision, Weihai, Shandong, China, September 28-30, 2019.
2. "Vehicles as a Service (VaaS): The Convergence of Communications, Computing, Storage and Intelligence (CCSI)," Keynote, China Computing Federation (CCF) "Three-Networks-into-One" New Network Technology Workshop, Zhangjiajie, Hunan, China, August 22-24, 2019.
3. "Vehicles as a Service (VaaS): The Convergence of Communications, Computing, Storage and Intelligence (CCSI)," Keynote, International Workshop on Intelligent Network and Edge Computing, School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, Guangdong, China, August 14-15, 2019.
4. "Vehicles as a Service (VaaS): The Convergence of Communications, Computing, Storage and Intelligence (CCSI)," Keynote, China Institute of Communications (CIC) Blue Sea Forum for Global Scientists in conjunction with 2019 Workshop on Scientific Research Fronts, China Communications magazine, Hangzhou, Zhejiang, China, August 4-5, 2019.
5. "Vehicles as a Service (VaaS): The Convergence of Communications, Computing, Storage and Intelligence (CCSI)," Keynote, International Workshop on Edge Computing, Hohhot, Inner Mongolia, July 20-22, 2019.
6. "Vehicles as a Service (VaaS): The Convergence of Communications, Computing, Storage and Intelligence (CCSI)," Keynote, First Symposium on Computer Vision, Image Processing and Intelligence (CVIPI), Qingdao, Shandong, China, July 13-14, 2019.
7. "Vehicles as a Service (VaaS): The Convergence of Communications, Computing, Storage and Intelligence (CCSI)," Keynote, Frontier Research on Communications Technologies, Dalian Maritime University, June 7, 2019.
8. "Connected Vehicles Make Cities Smarter: Communications, Computing, Storage, and Intelligence," Keynote, Symposium on Control and Security, Zhejiang University, May 18, 2019.
9. "Connected Vehicles Make Cities Smarter: Communications, Computing, Storage, and Intelligence," IEEE Distinguished Lecture, Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, May 16, 2019.
10. "Connected Vehicles Make Cities Smarter: Communications, Computing, Storage, and Intelligence," IEEE Distinguished Lecture, Department of Computer Science, National Tsinghua University, Hsinchu, Taiwan, May 13, 2019.
11. "Connected Vehicles Make Cities Smarter: Communications, Computing, Storage, and Intelligence," Keynote Speaker, 2019 International Workshop on Edge Computing and Intelligence, Shandong University, Jinan, Shandong, China, March 8-9, 2019.
12. "Connected Vehicles Make Cities Smarter: Communications, Computing, Storage, and Intelligence," Keynote Speaker, 2018 International Workshop on Advances in Information Coding and Wireless Communications (AICWC'2018), Chengdu, China, November 30-December 2, 2018.
13. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System," Keynote Speaker, China Institute of Communications (CIC) Blue Sea Forum for Global Scientists in conjunction with 2018 Workshop on Scientific Research Fronts, China Communications magazine, Dali, China, August 2-4, 2018.
14. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System," Keynote Speaker, 2018 Workshop on the Edge Computing and Internet of Intelligence, Central South University, Changsha, China, July 17, 2018.
15. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System," Keynote Speaker, 2018 International Workshop on the Internet of Things, University of Electrical Science and Technology of China, Chengdu, China, July 13-14, 2018.
16. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System," Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, July 2, 2018.
17. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System," School of Information and Computer Science, Shandong Normal University, Jinan, Shandong, China, June 21, 2018.
18. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System," School of Computer Science and Technology, Xiangtan University, Xiangtan, Hunan, China, June 18, 2018.
19. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System," Academy for Advanced Interdisciplinary Study, Peking University, Beijing, China, June 9, 2018.
20. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System," School of Geophysics and Information Engineering, China University of Petroleum, Beijing, China, June 7, 2018.
21. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System," Department of Computer Science, San Francisco State University, San Francisco, CA, May 14, 2018.
22. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System," IEEE Distinguished Lecture, IEEE Vehicular Technology Society, Ryerson University, Toronto, Canada, May 4, 2018.
23. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System," IEEE Distinguished Lecture, IEEE Vehicular Technology Society, Western University, London, Canada, May 2, 2018.
24. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System," IEEE Distinguished Lecture, IEEE Vehicular Technology Society, University of Waterloo, Waterloo, Canada, May 1, 2018.
25. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System,'' School of Information and Communications Engineering, Dalian University of Technology, Dalian, Liaoning, China, March 8, 2018.
26. Y. Fang, "Beef Up the Edge: How to Build an Efficient and Robust IoT System,'' Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China, March 7, 2018.
27. Y. Fang, "How to Harness Opportunistic Resource and Capability: A Collaborative Network Design Approach,'' Institute for Infocomm Research (I2R), Singapore, December 4, 2017.
28. Y. Fang, "Cognitive Capability Harvesting (CCH): A Collaborative Network Design,'' Keynote Speaker, 2017 International Workshop on Advances in Information Coding and Wireless Communications (AICWC'2017), Chengdu, China, November 5-8, 2017.

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