QuadScatter: Computational Efficiency in Simultaneous Transmissions for Large-Scale IoT Backscatter Networks
QuadScatter: Computational Efficiency in Simultaneous Transmissions for Large-Scale IoT Backscatter Networks
复制标题
QuadScatter：大规模物联网反向散射网络同时传输的计算效率
DOI：
10.1109/ojcs.2021.3104986
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发表时间：
2022
影响因子：
5.9
通讯作者：
Takashi Watanabe
中科院分区：
文献类型：
--
作者：
Osmane Zeba;Kentaro Hayashi;Kazuhiro Kizaki;Shunsuke Saruwatari;Takashi Watanabe
反向散射通信因其超低功耗能力而受到关注，有望增强物联网（IoT）技术，从而实现物体到物体通信的许多新颖应用。这种具有大量且不断增加的连接对象的网络将显着受益于资源节约。这项工作介绍了一个名为 QuadScatter 的系统，它是一组算法，用于选择和关联发射器、标签和阅读器，以实现同时反向散射传输并增加网络容量。因此，网络中的能源消耗大大减少。已经进行了大量的模拟来证明反向散射同时传输的有效性。与穷举搜索算法相比，QuadScatter 显示了有希望的结果。仿真结果分别强调了计算时间和同时传输的至少 和 的改进。此外，虽然穷举搜索仅限于几个节点（），但我们的建议使用大量节点。此外，还进行了有限同步反向散射传输的实施，以展示其在现实世界中的可行性。
Backscatter communication has attracted attention owing to its ultra-low-power consumption ability, which is expected to enhance internet of things (IoT) technology that aims to enable many novel applications for object-to-object communication. Such a network with a large and continuously increasing number of connected objects will benefit significantly from resource-saving. This work introduces a system named QuadScatter, which is a set of algorithms that select and associate transmitters, tags and readers to enable simultaneous backscatter transmissions and increase network capacity. Consequently, the energy consumption in the network is considerably lessened. Intensive simulations have been conducted to demonstrate the effectiveness of backscatter simultaneous transmissions. QuadScatter shows promising results compared to the exhaustive search algorithm. The simulation results highlight computational time and simultaneous transmission improvements of at leastand, respectively. Furthermore, while the exhaustive search is limited to a few nodes (), our proposal uses numerous nodes. Additionally, an implementation of limited simultaneous backscatter transmissions is conducted to show its feasibility in the real world.