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NeTS: Medium: Collaborative Research: Rechargeable Networks

NeTS: Medium: Collaborative Research: Rechargeable Networks
NeTS:媒介:协作研究:可充电网络
批准号:
0964632
负责人:
Sennur Ulukus
金额:
$30.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-03-15 至 2014-02-28

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中文摘要
翻译
这个项目研究无线通信网络,其节点有电池,通过从环境中收集能量来充电。只要网络的硬件和预期目的仍然可行,能量收集就可以产生一个持续存在的网络;这可能比任何合适的单次充电电池的寿命任意长。虽然平均功率最小化足以描述具有单次充电电池的设备的寿命,但可充电设备网络的完整特征将取决于电池的补充方式。考虑到各种各样的能量充电系统,包括太阳能电池、振动吸收装置、风力和水磨以及热电发电机,电池充电被建模为一个环境随机过程。本项目应用电池充电分析模型,评估由可充电节点组成的基本多址、广播和中继网络模型。该项目的目标是加强对可充电网络分析基础的理解,以促进生态友好型可充电网络的发展和最终部署。
英文摘要
This project examines wireless communication networks whose nodes have batteries that recharge by harvesting energy from the environment. Energy harvesting can yield a network that lasts as long as the network's hardware and intended purpose remain viable; this may be arbitrarily longer than the lifetime of any suitable single-charge battery. While average-power minimization is adequate to describe the lifetime of a device with a single-charge battery, a complete characterization of a network of rechargeable devices will depend on how the batteries are replenished. Given the broad variety of energy recharging systems, including solar cells, vibration absorption devices, wind and water mills, and thermoelectric generators, battery recharging is modeled as an environmental stochastic process. This project applies analytical models for battery recharging to evaluate fundamental multiple access, broadcast and relay network models composed of rechargeable nodes. The project objective is an enhanced understanding of the analytic fundamentals of rechargeable networks in order to contribute to the development and ultimate deployment of ecologically-friendly rechargeable networks.
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会议论文
CCSS: Communicating with Implanted Energy Harvesting Devices under Temperature Constraints
CIF: Small: Alignment for Secrecy: One-Time-Pads in the Air without Keys
NeTS: Small: Collaborative Research: Rechargeable Networks with Energy Cooperation
CIF: Small: Collaborative Research: Synergistic Exploitation of Network Dynamics and Knowledge Heterogeneity in Wireless Networks
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