Towards Wireless Power Transfer in Mobile Social Networks
Towards Wireless Power Transfer in Mobile Social Networks
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DOI：
10.1109/tnse.2021.3131191
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发表时间：
2022-05
影响因子：
6.6
通讯作者：
Kazuya Sakai;Min-Te Sun;Wei-Shinn Ku;Jie Wu
中科院分区：
文献类型：
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作者：
Kazuya Sakai;Min-Te Sun;Wei-Shinn Ku;Jie Wu
无线电力传输(WPT)是一种使能技术，无需电源插头即可为物联网设备和远处的传感器供电。在本文中，我们考虑用于移动社交网络(MSN)的WPT，在移动社交网络中，电力通过人与移动设备之间的近距离接触而从一个人转移到另一个人。在这种情况下，我们引入了MSN的无线充电器分配问题，对于给定数量的无线充电器，选择一部分节点作为电源节点，然后通过直接和/或间接接触将电能从电源分配到其他节点。为此，我们首先设计了加权连通性度量来量化节点的重要性，然后提出了自适应无线充电器分配(AWCA)算法。我们的AWCA由两个阶段组成。在第一阶段，无线充电器被分配给节点的子集作为电源。在第二阶段，电力通过MSN高效地传输。在性能评估方面，利用真实的人体接触轨迹进行了计算机仿真，仿真结果表明，只要传输效率足够高，所提出的AWCA算法就能达到设计目标。
Wireless power transfer (WPT) is an enabling technology that energizes IoT devices as well as sensors at a distance without power plugs. In this paper, we consider WPT for mobile social networks (MSNs), where power is transferred from one to another via close proximity contacts among humans with a mobile device. In such a scenario, we introduce the problem of wireless charger allocation for MSNs, in which for the given number of wireless chargers, a subset of nodes are selected as power source nodes, and then, power is disseminated from the power sources to the other nodes via direct and/or indirect contacts. To this end, we first design the weighted connectivity metric for quantifying the importance of nodes and then propose the adaptive wireless charger allocation (AWCA) algorithm. Our AWCA consists of two phases. In the first phase, wireless chargers are allocated to a subset of nodes as power sources. In the second phase, power is efficiently transferred over an MSN. For performance evaluation, computer simulations using real human contact traces are conducted, and the simulation results demonstrate that the proposed AWCA algorithm achieves its design goals as long as the transmission efficiency is sufficiently high.