@article {25417,
	title = {Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains},
	journal = {IEEE Transactions on Industrial Informatics},
	volume = {13},
	year = {2017},
	month = {05/2017},
	pages = {3154 - 3164},
	publisher = {IEEE},
	abstract = {We propose a localized Peer-to-Peer (P2P) electricity trading model for locally buying and selling electricity among Plug-in Hybrid Electric Vehicles (PHEVs) in smart grids. Unlike traditional schemes, that transport electricity over long distances and through complex electricity transportation meshes, our proposed model achieves demand response by providing incentives to discharging PHEVs to balance local electricity demand out of their own self-interests. However, since transaction security and privacy protection issues present serious challenges, we explore a promising consortium blockchain technology to improve transaction security without reliance on a trusted third party. A localized P2P Electricity Trading system with COnsortium blockchaiN (PETCON) method is proposed to illustrate detailed operations of localized P2P electricity trading. Moreover, the electricity pricing and the amount of traded electricity among PHEVs are solved by an iterative double auction mechanism to maximize social welfare in this electricity trading. Security analysis shows that our proposed PETCON improves transaction security and privacy protection. Numerical results based on a real map of Texas indicate that the double auction mechanism can achieve social welfare maximization while protecting privacy of the PHEVs.},
	keywords = {Consortium blockchain, decentralized energy trading, double auction, plug-in hybrid electric vehicles (PHEVs), security and privacy},
	issn = {1941-0050},
	doi = {10.1109/TII.2017.2709784},
	author = {Kang, Jiawen and Yu, Rong and Huang, Xumin and Maharjan, Sabita and Zhang, Yan and Hossain, Ekram}
}
@article {25274,
	title = {Software Defined Energy Harvesting Networking for 5G Green Communications},
	journal = {IEEE Wireless Communications Magazine},
	volume = {24},
	year = {2017},
	pages = {38-45},
	publisher = {IEEE Wireless Communication Magazine},
	abstract = {Energy and spectrum resources play significant roles in fifth generation (5G) communication systems. In industrial applications of the 5G era, green communications are a great challenge for sustainable development of networks. Energy harvesting technology is a promising approach to prolong network lifetime. In energy harvesting networks, nodes may replenish energy from a mobile charger to overcome variations of renewable energy. In this article, energy-rich nodes are stimulated to upload surplus energy to the mobile charger, leading to a bidirectional energy flow. This creates a new paradigm that energy flows coexist with data flows, which gives rise to new problems on controlling the energy flows and the data flows. Software defined networking enables centralized control to optimize flow scheduling. We propose a Software Defined Energy Harvesting Network (SD-EHN) architecture for 5G green communications. In the SD-EHN, the data plane, the energy plane and the control plane are decoupled to support flexible energy scheduling and improve energy efficiency, thus to facilitate sustainability in energy harvesting networks. A scenario with a mobile charger acting as a mobile data collector is presented to introduce an energy trading model in SD-EHN. We use stochastic inventory theory to determine the optimal energy storage levels of the nodes. A Nash bargaining game is proposed to solve the benefit allocation problem for energy trading. Numerical results indicate that SD-EHN optimizes energy utilization and saves energy.},
	doi = {10.1109/MWC.2017.1600360},
	author = {Huang, Xumin and Yu, Rong and Kang, Jiawen and Gao, Yue and Maharjan, Sabita and Gjessing, Stein and Zhang, Yan}
}
@article {23726,
	title = {Cooperative Resource Management in Cloud-enabled Vehicular Networks},
	journal = {IEEE Transactions on Industrial Electronics},
	volume = {62},
	year = {2015},
	month = {12/2015},
	pages = {7938-7951},
	publisher = {IEEE},
	author = {Yu, Rong and Huang, X. and Kang, Jiawen and Ding, Jiefei and Maharjan, Sabita and Gjessing, Stein and Zhang, Yan}
}
@inproceedings {23831,
	title = {Dynamic Resource Pricing and Scalable Cooperation for Mobile Cloud Computing},
	journal = {The 15th IEEE International Conference on Scalable Computing and Communications (Best paper award)},
	year = {2015},
	month = {08/2015},
	publisher = {IEEE},
	abstract = {Mobile cloud computing is a new paradigm to improve the quality of mobile services, which has drawn considerable attentions in both industrial and academic fields. In this paper, we consider the resource management and sharing problems for radio and computing resources to support mobile applications in mobile cloud computing. In such an environment, service providers can cooperate to form coalition to share their idle resources with each other. We propose a coalition game model based on two-sided matching theory. The coalition game model efficiently reflects the scalable cooperation among the service providers for sharing their idle resources. As a result, the resources can be better utilized and the quality of service for users can be improved. The simulation results indicate that our scheme can optimize the resource utilization and significantlyimprove the quality of service of the users.},
	author = {Huang, Xumin and Yu, Rong and Kang, Jiawen and Ding, Jiefei and Maharjan, Sabita and Gjessing, Stein and Zhang, Yan}
}
@article {23514,
	title = {MixGroup: Accumulative Pseudonym Exchanging for Location Privacy Enhancement in Vehicular Social Networks},
	journal = {IEEE Transactions on Dependable and Secure Computing},
	volume = {13},
	year = {2015},
	month = {01/2016},
	pages = {93-105},
	publisher = {IEEE},
	author = {Yu, Rong and Kang, Jiawen and Huang, X. and Xie, Shengli and Zhang, Yan and Gjessing, Stein}
}
@article {23495,
	title = {Toward Secure Energy Harvesting Cooperative Networks},
	journal = {IEEE Communications Magazine},
	volume = {53},
	year = {2015},
	month = {08/2015},
	pages = {114-121},
	publisher = {IEEE},
	abstract = {Energy harvesting cooperative networks is an emerging technology that has very high potential for a large variety of applications. However, the energy transfer capability may lead to unprecedented security challenges. In this paper, we will study energy security issues and the solutions in energy harvesting networks. We first identify typical energy related attacks and then propose defense solutions against these attacks. We also carry out security analysis and performance analysis to evaluate our proposed solutions. Simulation results have shownthat the proposed defense solutions are effective and efficient.},
	keywords = {cooperative relay, energy attack, Energy harvesting cooperative networks, security and defense},
	author = {Kang, Jiawen and Yu, Rong and Maharjan, Sabita and Zhang, Yan and Huang, Xumin and Xie, Shengli and Bogucka, Hanna and Gjessing, Stein}
}
