This project, building a Cognitive RadiO Multimedia NEtwork Testbed (COMET), investigates research challenges focused on QoE (Quality of Experience) requirements of multimedia applications, supporting new diverse approaches to QoE. The instrument will be used to develop cutting edge protocols and algorithms for the efficient use of limited wireless spectrum in a variety of multidisciplinary multimedia applications to address the challenging multidimensional scientific and engineering problems associated with the field. The protocols and algorithms will be applied to fundamental scientific questions in a wide range of wireless multimedia topics. The COMET platform will help develop methodology and techniques for efficient use of spectral resources and address critical issues related to energy, bandwidth, computing, and reliability for wireless multimedia applications. The work enables the verification and refinement of existing protocols and algorithms, and the development of new ones for different applications.
The major goal of this project is to build a Cognitive RadiO Multimedia NEtwork Testbed (COMET) at the UMassD and is to address the needs in both research and education. The testbed is jointly developed and used by three different research groups in the department of Electrical and Computer Engineering. It can (1) Provide a testbed for next-generation multimedia communication research; (2) Enable the verification and refinement of existing protocols and algorithms and development of new ones for the efficient use of limited wireless spectrum; (3) Further the education and training of undergraduate and graduate students. The focus of this testbed is to address research issues specifically related to CR-based transmission of multimedia data.
The instrument plays a crucial role in training the next generation of engineers and scientists. Students gain experience in various aspects of multimedia communication and wireless. Undergraduates are integrated into respective research programs, in harmony with the REU site program and college-level undergraduate research incentive program. Training is also offered to a broader body of students at the institution and beyond, and underrepresented students are sought. An undergraduate research program on CR multimedia network is established as well, while disseminating the novel principles and methods of multimedia communication developed.
Wang, Honggang, PI
Kasilingam, Dayalan Co-PI
Li, Yifei Co-PI
Michel, Howard Co-PI (retired)
Xing, Liudong Co-PI
Year 1:
1. A smaller Cognitive radio (CR) tested is being built up at UMassD ATMC lab. The specific nodes mainly includes USRP
N210 Kit, WBX USRP daughterboard, SBX USRP daughterboard.
2. Our studies demonstrated the functionality and feasibility of the proposed testbed.
3. We also studied a game user-oriented CR network design for video transmission,
which takes the network user’s QoE requirements into the consideration for optimal network performance. We formulated
a Stackelberg game based design for video transmission over CR network, and proved the existence and uniqueness of
Nash equilibrium. Theoretical analysis and numerical results show that, under the proposed CR network framework, both
primary and secondary systems achieve better performance.
Abdelnaser Omar Rashwan, Honggang Wang, Dalei Wu, Xinming Huang (2015). Security–quality aware routing for wireless multimedia sensor networks using secret sharing Security and Communication Networks. Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes ; DOI: 10.1002/sec.1203
Jinfang Huang, Honggang Wang, Yi Qian (2015). Game User-Oriented Multimedia Transmission over Cognitive Radio Networks. The 2015 IEEE Global Communications Conference (GLOBECOM). San Diego, CA. Status = ACCEPTED; Acknowledgement of Federal Support = Yes
Year 2:
(1) We have purchased most USRP N210 nodes (e.g., total 46 nodes) and conducted testing on the tested. Our purchase mainly includes (1) 46 USRP 210 kits; (2) LP0965 (85 MHz to 6.5 GHz) Log Periodic PCB antenna; (3) WBX USRP daughterboard; (2) SBX USRP daughterboard (400MHz-4.4 GHz), (4) 3 Dell servers; (5) Gigabit Switches. We will finish all the purchase in the third project year.
(2) We have investigated applications according to our project’s plan. Some research results have been published in the related areas such as multimedia sensor networks, healthcare monitoring, cognitive radio networks, and cross layer design for multimedia networks. We will further verify the research results on the COMET platform after the testbed is completely built up.
Dapeng Wu, Honggang Wang, Ruyan Wang (2016). Social Relation Aware Hybrid Service Discovery Mechanism for Intermittently Connected Wireless Network. The 11th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2016). . Status = AWAITING_PUBLICATION; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes
Jingfang Huang; Honggang Wang; Yi Qian (2016). Game User-Oriented Multimedia Transmission over Cognitive Radio Networks. IEEE Transactions on Circuits and Systems for Video Technology . Status = PUBLISHED; Acknowledgment of Federal Support = Yes; Peer Reviewed = Yes; DOI: 10.1109/TCSVT.2016.2565979
Lixing Song; Shaoen Wu; Honggang Wang (2016). SIMPLEX: Symbol-level Information MultiPLEX. IEEE Internet of Things (IoT) jounal. . Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes ; DOI: 10.1109/JIOT.2016.2555762
MD Nashid Anjum, Honggang Wang (2016). Optimal Resource Allocation for Deeply Overlapped Self-coexisting WBANs. IEEE Globecom 2016.Status = ACCEPTED; Acknowledgment of Federal Support = Yes; Peer Reviewed = Yes
Yujie Wang, Liudong Xing, Honggang Wang, G. Levitin (2015). Combinatorial Analysis of Body Sensor Networks Subject to Probabilistic Competing Failures. Reliability Engineering & System Safety Journal. 142 388. Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes ; DOI:
Yujie Wang; Liudong Xing; Honggang Wang (2016). Reliability of Systems subject to Competing Failure Propagation and Probabilistic Failure Isolation. International Journal of Systems Science: Operations & Logistics.. Status = PUBLISHED; Acknowledgment of Federal Support = Yes; Peer Reviewed = Yes ; DOI: 10.1080/23302674.2016.1173263
Zhouzhou Li, Honggang Wang (2016). A Key Agreement Method for Wireless Body Area Networks. BigSecurity 16: The Fourth International Workshop on Security and Privacy in Big Data, Proc. IEEE INFOCOM 2016. . Status = AWAITING_PUBLICATION; Acknowledgment of Federal Support = Yes; Peer Reviewed = Yes
Year 3:
1. In the third project year, we have completed most of the planned purchases including two spectrum analyzers and video encoders. We have gradually set up a larger testbed as we planned, which consists of about 60 USRP nodes after we performed testing on a smaller testbed in the first and second year of the project. We also compared two models of USRP nodes: X310 USRP and N220. The larger testbed is being refined and calibrated in a new lab space at UMass Dartmouth.
2. We are also deploying the testbed in wide campus building. We have conducted more research and published more related research papers during the third project year. More research works will be performed in the fourth project year (no cost extension).
3. A larger Cognitive radio (CR) tested is being refined and tested at UMassD lab. The specific nodes mainly include about 60 USRP nodes, Video codec, Switches, WBX USRP daughterboard, SBX USRP daughterboard, and severs. Our studies demonstrated the functionality and feasibility of the proposed testbed. We also studied communication interference, health monitoring for multimedia e-health applications and reliability of sensor networks. The related papers are published in IEEE conferences and journals. In addition, several Ph.D. students used the platform to prepare their dissertation proposals.
Honggang Wang, MD. Shaad Mahmud, Hua Fang, Chonggang Wang (2016). Wireless Health 1st. Springer Publisher. Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes ; ISBN: 978-3-319-47946-0
Dapeng Wu, Honggang Wang, Ruyan Wang (2016). Social Relation Aware Hybrid Service Discovery Mechanism for Intermittently Connected Wireless Network. The 11th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2016). . Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes
Jin Wang, Hua Fang, Stephanie Carreiro, Honggang Wang, Edward Boyer (2017). A New Mining Method to Detect Real Time Substance Use Events from Wearable Biosensor Data Stream. 2017 International Conference on Computing, Networking and Communications (ICNC): Social Computing and Semantic Data Mining. . Status = PUBLISHED; Acknowledgment of Federal Support = Yes; Peer Reviewed = Yes
M. S. Mahmud; H. Wang; A. M. Esfar-E-Alam; H. Fang (2017). A Wireless Health Monitoring System Using Mobile Phone Accessories. IEEE Internet of Things Journal.. Status = PUBLISHED; Acknowledgment of Federal Support = Yes; Peer Reviewed = Yes; DOI:10.1109/JIOT.2016.2645125
MD Nashid Anjum, Honggang Wang (2016). Optimal Resource Allocation for Deeply Overlapped Self-coexisting WBANs.
IEEE Globecom 2016..Status = PUBLISHED; Acknowledgment of Federal Support = Yes; Peer Reviewed = Yes; DOI: 10.1109/GLOCOM.2016.7842093
Y. Li, Z. Zhang, W. Wang and H. Wang (2017). Concurrent transmission based stackelberg game for D2D communications in mmWave networks.,"2017 IEEE International Conference on Communications (ICC).. Status = PUBLISHED; Acknowledgment of Federal Support = Yes; Peer Reviewed = Yes; DOI: 10.1109/ICC.2017.7996369
Y. Wang; L. Xing; H. Wang; D. W. Coit (2017). System Reliability Modeling Considering Correlated Probabilistic Competing Failures.IEEE Transactions on Reliability.. Status = PUBLISHED; Acknowledgment of Federal Support = Yes; Peer Reviewed = Yes; DOI:10.1109/TR.2017.2716183
Z. Li, H. Wang, M. Daneshmand and H. Fang (2017). Secure and efficient key generation and agreement methods for wireless body area networks.2017 IEEE International Conference on Communications (ICC).. Status = PUBLISHED; Acknowledgment of Federal Support = Yes; Peer Reviewed = Yes ; DOI: 10.1109/ICC.2017.7996848
Zhouzhou Li, Honggang Wang (2016). A Key Agreement Method for Wireless Body Area Networks. BigSecurity 16: The Fourth International Workshop on Security and Privacy in Big Data, Proc. IEEE INFOCOM 2016.. Status = PUBLISHED; Acknowledgment of Federal Support = Yes; Peer Reviewed = Yes ; DOI: 10.1109/INFCOMW.2016.7562165
Thesis/Dissertations
Jingfang Huang. QoE-Aware Scalable Video Transmission Over Resource- Constrained Cognitive Radio Networks. (2016).
University of Massachusetts Dartmouth. Acknowledgement of Federal Support = Yes
Abdelnaser O. Rashwan. Quality-Driven Secure Routing For Wireless Multimedia Sensor Networks Using Secret Sharing. (2016).
University of Massachusetts Dartmouth. Acknowledgement of Federal Support = Yes
Yujie Wang. Reliability Modeling Of Probabilistic Competing Failures. (2016). University of Massachusetts Dartmouth. Acknowledgement of Federal Support = Yes
Zhaoyang Zhang. Secure And Energy-Efficient Wireless Body Area Networks. (2016). University of Massachusetts Dartmouth. Acknowledgement of
Federal Support = Yes
Year 4:
(1) We have completed the planned purchases including two spectrum analyzers and video encoders. Our testbed consists of 60 USRP nodes. We also compared two models of USRP nodes: X310 USRP and N220. The testbed has been refined and calibrated in the lab space at UMass Dartmouth.
(2) We have conducted more related research leading to more published papers. The research relates to multimedia communications, cognitive radio infrastructure, reliability and fault-tolerance, and network modeling. We demonstrated potential use of SDRs (software defined radios) for diverse multimedia applications.
Dapeng Wu, Honggang Wang, Ruyan Wang (2016). Social Relation Aware Hybrid Service Discovery Mechanism for Intermittently Connected Wireless Network. The 11th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2016). . Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes
J. Huang, H. Wang and Y. Qian (2017). Game User-Oriented Multimedia Transmission Over Cognitive Radio Network. IEEE Transactions on Circuits and Systems for Video Technology. 27 (1), 198. Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes
Jinfang Huang, Honggang Wang, Yi Qian (2015). Game User-Oriented Multimedia Transmission over Cognitive Radio Networks. The 2015 IEEE Global Communications Conference (GLOBECOM). San Diego, CA.. . Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes
L. Xing, M. Tannous, V. Vokkarane, H. Wang, and J. Guo (2017). Reliability Modeling of Mesh Storage Area Networks for Internet of Thing. IEEE Internet of Things Journal. 4 (6), 2047. Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes ; OTHER:
Lixing Song; Shaoen Wu; Honggang Wang (2016). IMPLEX: Symbol-level Information MultiPLEX. IEEE Internet of Things (IoT) jounal. 3 (5), 757. Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes
MD Nashid Anjum, Honggang Wang (2016). Optimal Resource Allocation for Deeply Overlapped Self-coexisting WBANs. EEE Globecom 2016. . Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes
Patrick R Dasilva, Anuja Ghising, Siddharth V Patil, Honggang Wang (2018). Implementation of Cognitive Radio Network Testbed for Multimedia Communications. EAI Transactions on Mobile Communications and Applications. . Status = ACCEPTED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes
Y. Li, Z. Zhang, W. Wang and H. Wang (2017). Concurrent transmission based stackelberg game for D2D communications in mmWave networks. 2017 IEEE International Conference on Communications (ICC). 1. Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes
Y. Mo, L. Xing, S. Cai, Z. Zhang, and J. Jiang (2018). Reliability Analysis of IoT Networks with Community Structures. IEEE Transactions on Network Science and Engineering. . Status = ACCEPTED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes
Y. Wang, L. Xing, and H. Wang (2017). Reliability of Systems subject to Competing Failure Propagation and Probabilistic Failure Isolation. International Journal of Systems Science: Operations & Logistics. 4 (3), 241. Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes
Y. Wang, L. Xing, H. Wang, and D. W. Coit (2018). System Reliability Modeling Considering Correlated Probabilistic Competing Failures. IEEE Transactions on Reliability. 67 (2), 416. Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes
Y. Wang, L. Xing, H. Wang, G. Levitin (2015). Combinatorial Analysis of Body Sensor Networks Subject to Probabilistic Competing Failures. Reliability Engineering & System Safety. 142 388. Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes
Zhouzhou Li, Honggang Wang (2016). A Key Agreement Method for Wireless Body Area Networks. BigSecurity 16: The Fourth International Workshop on Security and Privacy in Big Data, Proc. IEEE INFOCOM 2016. . Status = PUBLISHED; Acknowledgment of Federal Support = Yes ; Peer Reviewed = Yes
Thesis/Dissertations
Jingfang Huang. QoE-Aware Scalable Video Transmission Over Resource- Constrained Cognitive Radio Networks. (2016). University of Massachusetts Dartmouth. Acknowledgement of Federal Support = Yes
Abdelnaser O. Rashwan. Quality-Driven Secure Routing For Wireless Multimedia Sensor Networks Using Secret Sharing. (2016). University of Massachusetts Dartmouth. Acknowledgement of Federal Support = Yes
Yujie Wang. Reliability Modeling Of Probabilistic Competing Failures. (2016). University of Massachusetts Dartmouth. Acknowledgement of Federal Support = Yes
Zhaoyang Zhang. Secure And Energy-Efficient Wireless Body Area Networks. (2016). University of Massachusetts Dartmouth. Acknowledgement of Federal Support = Yes