WiFED: WiFi Friendly Energy Delivery with Distributed Beamforming

WiFED: WiFi Friendly Energy Delivery with Distributed Beamforming
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DOI:
10.1109/infocom.2018.8486207
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发表时间:
2018-04
期刊:
IEEE INFOCOM 2018 - IEEE Conference on Computer Communications
影响因子:
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通讯作者:
Subhramoy Mohanti;Elif Bozkaya;M. Naderi;B. Canberk;K. Chowdhury
Subhramoy Mohanti;Elif Bozkaya;M. Naderi;B. Canberk;K. Chowdhury
中科院分区:
其他
文献类型:
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作者:
Subhramoy Mohanti;Elif Bozkaya;M. Naderi;B. Canberk;K. Chowdhury

文献摘要

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用于室内传感器的无线射频能量传输是一种新兴的范例,可确保不受电池限制的连续运行。但是,ISM频段内的高功率辐射会干扰现有WiFi设备的数据包接收。本文首次提出将射频能量传输功能合并到符合标准的802.11协议中,以实现实用且wifi友好的能量传输(wied)。wied架构由一个协调多个分布式能量发射器(ETs)动作的集中控制器和一些定期向ETs请求能量的部署传感器组成。本文首先描述了特定的802.11支持的协议特性,这些特性可以被传感器利用来请求能量,并使ETs参与能量传递过程。其次,设计了一种基于控制器驱动的二部匹配算法,该算法将适当数量的et分配给能量请求传感器,以实现有效的能量传递过程。通过模拟和部分软件定义的无线电测试平台验证了wied中提出的带内和协议支持共存的方案,与传统的基于最近距离的充电方案相比,网络寿命提高了15%,充电延迟减少了31%。传统的充电方案不考虑传感器未来的能源需求,也不适合与wifi系统共存。
Wireless RF energy transfer for indoor sensors is an emerging paradigm that ensures continuous operation without battery limitations. However, high power radiation within the ISM band interferes with the packet reception for existing WiFi devices. The paper proposes the first effort in merging the RF energy transfer functions within a standards compliant 802.11 protocol to realize practical and WiFi-friendly Energy Delivery (WiFED). The WiFED architecture is composed of a centralized controller that coordinates the actions of multiple distributed energy transmitters (ETs), and a number of deployed sensors that periodically request energy from the ETs. The paper first describes the specific 802.11 supported protocol features that can be exploited by sensors to request energy and for the ETs to participate in the energy delivery process. Second, it devises a controller-driven bipartite matching-based algorithmic solution that assigns the appropriate number of ETs to energy requesting sensors for an efficient energy transfer process. The proposed in-band and protocol supported coexistence in WiFED is validated via simulations and partly in a software defined radio testbed, showing 15% improvement in network lifetime and 31% reduction in the charging delay compared to the classical nearest distance-based charging schemes that do not anticipate future energy needs of the sensors and are not designed to co-exist with wifi systems.