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Multi-Radio Multi-Channel Multi-Hop Cellular Networks: Throughput and Energy Consumption Optimization

Project Information

  • “CAREER: Multi-Radio Multi-Channel Multi-Hop Cellular Networks: Throughput and Energy Consumption Optimization (CNS-1149786),” PI. National Science Foundation, August 1, 2012–July 31, 2017.
  • This webpage and the materials provided here are based upon work supported by the National Science Foundation under Grant No. CNS-1149786.

Project Summary

Due to the massive proliferation of mobile devices like smart phones and tablets, mobile cloud computing has emerged as a new paradigm and extension of cloud computing, with which users can see a plethora of unique features. Unfortunately, since mobile users offload most computation and storage to the cloud and are usually battery-powered, high performance connections to the cloud tend to become the bottleneck, hindering the efficiency of mobile cloud computing systems. Thus, throughput and energy efficiency for the connections to the cloud are two critical and challenging issues in mobile cloud computing, which should be addressed carefully.

This project focuses on novel multi-radio multi-channel multi-hop cellular network (M3CN) architectural design for facilitating mobile cloud computing, and the fundamental challenges, including throughput and energy consumption optimization, associated with M3CN. Specifically, mobile cloud computing can find applications everywhere from civilian to military scenarios, from inaccessible or remote areas to emergency or hazardous situations. Throughput and energy consumption are two critical fundamental issues in mobile cloud computing, which, however, have not received enough attention so far and deserve a systematic study. This project will satisfy this critical need through a unified research program consisting of the exploration and development of new network architectural design, and throughput and energy consumption optimization therein. The results of this project will advance the state of the art in network optimization for mobile cloud computing and enrich the scientific knowledge of network design. The developed technologies in this project are crucial to the success of mobile cloud computing, and can be used to find novel solutions to supporting more diversified applications, such as smart environments like smart cities and smart grids, mobile health systems, mobile social networks, and public safety systems.

Personnel

  • Pan Li, PI
  • Xuhui Chen, Ph.D. Student
  • Ming Li, Ph.D. Student, graduated in August 2014
  • Robert Luo, Ph.D. student
  • Weixian Liao, Ph.D. Student
  • Sergio Salinas, Ph.D. Student, graduated in August 2015
  • Arun, Thapa, Ph.D. Student, graduated in August 2014

Publications

Journal Papers

  1. C. Luo, L.T. Yang, P. Li, and X. Xia, “A holistic energy optimization framework for cloud-assisted mobile computing,” IEEE Wireless Communications, Vol. 22, No. 3, pp. 118–123, June 2015.
  2. Arun Thapa, Ming Li, Sergio Salinas, and Pan Li, “Asymmetric Social Proximity Based Private Matching Protocols for Online Social Networks,” IEEE Transaction on Parallel and Distributed System, Vol. 26, No. 6, pp. 1547-1559, June 2015.
  3. Ming Li, Sergio, Salinas, Pan Li, Jinyuan Sun, and Xiaoxia Huang, “MAC-Layer Selfish Misbehavior in IEEE 802.11 Ad Hoc Networks: Detection and Defense,” IEEE Transactions on Mobile Computing, Vol. 14, No. 6, pp. 1203-1217, June 2015.
  4. Ming Li, Pan Li, Xiaoxia Huang, Yuguang Fang, and Savo Glisic, “Energy Consumption Optimization for Multihop Cognitive Cellular Networks,” IEEE Transactions on Mobile Computing, Vol. 4, No. 2, pp. 358-372, February 2015. (Feature Article of the February Issue).
  5. Ming Li, Sergio Salinas, Pan Li, Xiaoxia Huang, Yuguang Fang, and Savo Glisic, “Optimal Scheduling for Multi-radio Multi-channel Multi-hop Cognitive Cellular Networks,” to appear in IEEE Transactions on Mobile Computing.
  6. Yue Tong, Jinyuan Sun, Sherman S. M. Chow, and Pan Li, “Cloud-assisted Mobile-access of Health Data with Privacy and Auditability,” IEEE Journal of Biomedical and Health Informatics, Vol. 18, No. 2, pp. 419-429, March 2014.
  7. Ming Li, Sergio Salinas, and Pan Li, “Locaward: A Security and Privacy Aware Location-Based Rewarding System,” IEEE Transactions on Parallel and Distributed Systems – Special Issue on Trust, Security, and Privacy, Vol. 25, No. 2, pp. 343-352, February 2014.
  8. Ming Li and Pan Li, “Crowdsourcing in Cyber-Physical Systems: Stochastic Optimization with Strong Stability,” IEEE Transactions on Emerging Topics in Computing – Special Issue on Cyber-Physical Systems, Vol 1, No. 2, pp. 218-231, December 2013.
  9. Sergio Salinas, Ming Li, Pan Li, and Yong Fu, “Dynamic Energy Management for the Smart Grid with Distributed Energy Resources,” IEEE Transactions on Smart Grid, Vol. 4, No. 4, pp. 2139-2151, December 2013.
  10. Sergio Salinas, Ming Li, Pan Li, “Privacy-Preserving Energy Theft Detection in Smart Grids: A P2P Computing Approach,” IEEE Journal on Selected Areas in Communications – Special Issue on Emerging Technologies in Communications, Vol. 31, No. 9, pp. 257-267, September 2013.
  11. Pan Li and Yuguang Fang, “On the Throughput Capacity of Heterogeneous Wireless Networks,” IEEE Transactions on Mobile Computing, Vol. 11, No. 12, pp. 2073-2086, December 2012.

Conference Papers

  1. Linke Guo, Yuguang Fang, Ming Li, and Pan Li, “Verifiable Privacy-preserving Monitoring for Cloud-assisted mHealth Systems,” IEEE International Conference on Computer Communications (INFOCOM’15), Hong Kong, China, April 26-May 1, 2015. (Acceptance ratio = 316/1640 = 19%)
  2. Ming Li, Pan Li, Linke Guo, and Xiaoxia Huang, “PPER: Privacy-Preserving Economic-Robust Spectrum Auction in Wireless Networks,” IEEE International Conference on Computer Communications (INFOCOM’15), Hong Kong, China, April 26-May 1, 2015. (Acceptance ratio = 316/1640 = 19%)
  3. Sergio Salinas, Changqing Luo, Xuhui Chen, and Pan Li, “Efficient Secure Outsourcing of Large-scale Linear Systems of Equations,” IEEE International Conference on Computer Communications (INFOCOM’15), Hong Kong, China, April 26-May 1, 2015. (Acceptance ratio = 316/1640 = 19%)
  4. Sergio Salinas, Changqing Luo, Weixian Liao, Pan Li, “State Estimation for Energy Theft Detection in Microgrids,” the 9th International Conference on Communications and Networking in China (ChinaCom’14), Maoming, China, August 14-16, 2014. (Best Paper Award)
  5. Weixian Liao, Ming Li, Sergio Salinas, Pan Li, and Miao Pan, “Optimal Energy Cost for Strongly Stable Multi-hop Green Cellular Networks,” IEEE International Conference on Distributed Computing Systems (ICDCS’14), Madrid, Spain, June 30-July 3, 2014. (Acceptance ratio: 66/500 = 13%)
  6. Yue Tong, Jinyuan Sun, Sherman S. M. Chow, and Pan Li, “Towards Auditable Cloud-Assisted Access of Encrypted Health Data,” the 4th International Workshop on Security and Privacy in Cloud Computing, Maryland, USA, Ooctober 14-16, 2013.
  7. Yan Long, Hongyan Li, Miao Pan, Pan Li, and Jiandong Li, “Scalable Video Coding Based Video Transmission in MRMC Networks: A Cross-Layer Design Perspective,” IEEE International Conference on Communications in China (ICCC’13), Xi’an, China, August 12-14, 2013.
  8. Ming Li, Pan Li, Miao Pan, and Jinyuan Sun, “Economic-Robust Transmission Opportunity Auction in Multi-hop Wireless Networks,” IEEE International Conference on Computer Communications (INFOCOM’13), Turin, Italy, April 14-19, 2013. (Acceptance ratio = 280/1613 = 17%)
  9. Ming Li, Sergio Salinas, Arun Thapa, and Pan Li, “n-CD: A Geometric Approach to Preserving Location Privacy in Location-Based Services,” IEEE International Conference on Computer Communications (INFOCOM’13), Turin, Italy, April 14-19, 2013. (Acceptance ratio = 280/1613 = 17%)
  10. Miao Pan, Hao Yue, Pan Li and Yuguang Fang, “Throughput Maximization of Cooperative Wireless Mesh Networks Using Directional Antennas,” IEEE International Conference on Communications in China (ICCC’12), Beijing, China, August 15-18, 2012.
  11. Sergio Salinas, Ming Li, Pan Li, “Privacy-Preserving Energy Theft Detection in Smart Grids,” IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON’12), Seoul, Korea, June 18-21, 2012.

Outreach and Education Activities for Broader Impact

Our major results have been disseminated through presentations and publications in meetings, conferences, and journals. A substantial quantity of the materials of this project have also been made publicly available online here.

Besides, the research in this project is one of the main topics in the split-level courses ECE 4813/6813: Communication Theory and ECE 4823/6823: Digital Communications, and the graduate courses ECE 8990: Wireless Communications, and ECE 8823: Wireless Networks at MSU. The second graduate course is also offered to long-distance students. PI Li has also developed several new graduate courses ECE 8990: Advanced Topics in Big Data, ECE 8990: Advanced Topics in Cloud Computing and ECE 8990: Advanced Topics in Cognitive Radio Networks. These courses focused on fundamental challenges and hot topics in big data, cloud computing, and cognitive radio networks, respectively, and were highly received by both EE and CS graduate students. The research outcomes and network design methodologies developed in this project have been channelized into the classroom.

In addition, two of the Ph.D. students who worked on this project, i.e., Ming Li and Arun Thapa, graduated in Summer 2014. Ming joined the Department of Computer Science and Engineering at University of Nevada, Reno, and Arun joined the Department of Electrical Engineering at Tuskegee University, respectively, as tenure-track Assistant Professors. Another Ph.D. student, Sergio Salinas, graduated in Summer 2015, and joined the Department of Electrical Engineering and Computer Science at Wichita State University as a tenure-track Assistant Professor. Continuing collaborations with them has extended the impact of this project to universities in Nevada and Alabama as well.

 

career.txt · Last modified: 2015/10/09 12:34 by lipanleo