@article {25639,
	title = {Selective Offloading in Mobile Edge Computing for Green Internet of Things},
	journal = {IEEE Network Magazine},
	volume = {32},
	year = {2017},
	pages = {54-60},
	publisher = {IEEE},
	abstract = {Mobile Edge Computing (MEC) provides the radio access networks with cloud computing capabilities to fulfill the requirements of the Internet of Things (IoT) services such as high reliability and low latency. Offloading services to edge servers can alleviate the storage and computing limitations and prolong the lifetimes of the IoT devices. However, offloading in MEC faces scalability problems due to the massive number of IoT devices. In this article, we present a new integration architecture of the cloud, MEC and IoT, and propose a lightweight request and admission framework to resolve the scalability problem. Without coordination among devices, the proposed framework can be operated at the IoT devices and computing servers separately, by encapsulating latency requirements in offloading requests. Then, a selective offloading scheme is designed to minimize the energy consumption of devices, where the signalling overhead can be further reduced by enabling the devices to be selfnominated or self-denied for offloading. Simulation results show that our proposed selective offloading scheme can satisfy the latency requirements of different services and reduce the energy consumption of the IoT devices.},
	keywords = {energy efficiency, Internet of things, Mobile edge computing, scalability, Selective offloading},
	doi = {10.1109/MNET.2018.1700101},
	author = {Lyu, X. and Tian, H. and Jiang, L. and Vinel, A. and Maharjan, Sabita and Gjessing, Stein and Zhang, Yan}
}
@article {24766,
	title = {Quality of Protection in Cloud-Assisted Cognitive Machine-to-Machine Communications for Industrial Systems},
	journal = {ACM/Springer Mobile Networks and Applications},
	volume = {21},
	year = {2016},
	pages = {1032-1042},
	publisher = {ACM/Springer},
	abstract = {Cloud-assisted cognitive machine-to-machine communications (CM2M) is a new paradigm to improve the mobile services, which have drawn considerable attention in industry and academia. In this paper, we consider the quality of protection (QoP) of information transmission in cloud-assisted CM2M communications. In such an environment, the secondary M2M system intends to share the primary spectrum on the condition that the secondary transmitter (ST) has to relay the primary message. However, the ST is a low-energy device which adopts the energy harvesting technique to power itself. In particular, we focus on secure information transmission for the primary system when the secondary users (SUs) are the potential eavesdroppers. We aim to jointly design power splitting and secure beamforming to maximize the secondary M2M system data rate subject to the secrecy requirement of the primary system and the ST power constraint. To solve this non-convex problem, we propose a computationally efficient two-stage optimization approach. Simulation results demonstrate that our proposed scheme achieves a significant transmission rate of the secondary M2M system while provides a high secrecy rate for the primary system compared to the scheme without energy harvesting.},
	author = {Jiang, L. and Tian, H. and Shen, J. and Maharjan, Sabita and Zhang, Yan}
}
@article {24546,
	title = {Social-aware Energy Harvesting Device to Device Communications in 5G Networks},
	journal = {IEEE Wireless Communication Magazine},
	volume = {23},
	year = {2016},
	pages = {20-27},
	publisher = {IEEE},
	abstract = {With ever-increasing demands for local area services in the fifth generation (5G) cellular networks, solutions are necessary to deliver local area data in both a spectrum- and an energy-efficient manner. In this paper we propose a new cellular communication architecture which integrates energy harvesting technologies and social networking characteristics into device-to-device (D2D) communications for local data dissemination. The proposed architecture includes three domains: the physical domain, the energy domain and the social domain. Specifically, in the physical domain, D2D communications enable two nearby users to communicate with each other directly. In the energy domain, devices harvest energy from renewable energy sources. In the social domain, D2D users form social networks exhibiting stable social structures and relations. Then we mainly focus on the efficient local data dissemination issues in the proposed architecture and propose two social-aware energy harvesting D2D communication schemes (a device relaying and a device multicast). Illustrative results demonstrate significant spectrum and energy efficiency enhancement for local data dissemination in 5G cellular networks.},
	author = {Jiang, L. and Tian, H. and Xing, Z. and Wang, K. and Zhang, K. and Maharjan, Sabita and Gjessing, Stein and Zhang, Yan}
}
