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An Optimal Lifetime Utility Routing for 5G and Energy-Harvesting Wireless Networks
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作者 Gina Martinez Shufang Li Chi Zhou 《ZTE Communications》 2015年第1期35-42,共8页
Harvesting energy from environmental sources such as solar and wind can mitigate or solve the limited-energy problem in wireless sensor networks. In this paper, we propose an energy-harvest-aware route-selection metho... Harvesting energy from environmental sources such as solar and wind can mitigate or solve the limited-energy problem in wireless sensor networks. In this paper, we propose an energy-harvest-aware route-selection method that incorporates harvest availability properties and energy storage capacity limits into the routing decisions. The harvest-aware routing problem is formulated as a lin- ear program with a utility-based objective function that balances the two conflicting routing objectives of maximum total and maxi- mum minimum residual network energy. The simulation results show that doing so achieves a longer network lifetime, defined as the time-to-first-node-death in the network. Additionally, most existing energy-harvesting routing algorithms route each traffic flow independently from each other. The LP formulation allows for a joint optimization of multiple trafic flows. Better residual energy statistics are also achieved by such joint consideration compared to independent optimization of each commodity. 展开更多
关键词 ROUTING 5G energy-harvesting wireless sensor networks
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Distributed Beamforming for Energy-Harvesting Relaying in Vehicular Networks
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作者 Yuxiang Liang Bing Li +2 位作者 Rongqing Zhang Hongze Li Shengjie Zhao 《Journal of Communications and Information Networks》 CSCD 2020年第2期160-167,共8页
Recently,battery capacity and charging speed have been the bottlenecks of mobile communication networks.Energy harvesting(EH)relaying has become a promising solution for green 5th generation mobile communication with ... Recently,battery capacity and charging speed have been the bottlenecks of mobile communication networks.Energy harvesting(EH)relaying has become a promising solution for green 5th generation mobile communication with the advancement of wireless power transfer technology.In this paper,we investigate EH relaying in vehicular networks and adopt distributed beamforming(DB)to enhance the reliability and capacity of EH relaying.To be more specific,we propose a DB solution based on the joint optimization of power-splitting(PS)factors.For amplify-and-forward relaying,to transform the optimization problem into a quasi-convex one,we apply the semidefinite relaxation(SDR)method so that we can effectively attain the global optimal solution,while the suboptimal DB solution with distributed optimal PS factor which only requires local channel state information is also proposed.For decode-and-forward relaying,to get the optimal PS factors,we set a signal-to-noise ratio threshold at the relays,which can reduce the system error rate caused by the poor transmission link.Simulation results demonstrate the efficiency of our proposed DB-based EH relaying scheme in vehicular networks. 展开更多
关键词 vehicular networks energy-harvesting relay SWIPT power splitting distributed beamforming
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Flow-induced voltage generation in graphene network
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作者 Junchao Lao Yijia He +8 位作者 Xiao Li FuzhangWu Tingting Yang Miao Zhu Yangyang Zhang Pengzhan Sun Zhen Zhen Baochang Cheng Hongwei Zhu 《Nano Research》 SCIE EI CAS CSCD 2015年第8期2467-2473,共7页
We report a voltage generator based on a graphene network (GN). In response to the movement of a droplet of ionic solution over a GN strip, a voltage of several hundred millivolts is observed under ambient condition... We report a voltage generator based on a graphene network (GN). In response to the movement of a droplet of ionic solution over a GN strip, a voltage of several hundred millivolts is observed under ambient conditions. In the voltage-generation process, the unique structure of GN plays an important role in improving the rate of electron transfer. Given their excellent mechanical properties, GNs may find applications for harvesting vibrational energy in various places such as raincoats, umbrellas, windows, and other surfaces that are exposed to rain. 展开更多
关键词 GRAPHENE flow ionic solution energy-harvesting
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