ReSNE:可重构传感器网络仿真器,可虚拟化集成的大规模传感器网络

D. Baba, N. Suematsu, Shun Nabeshima, T. Miyazaki
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引用次数: 3

摘要

在这项研究中,我们提出了一个可重构的传感器网络模拟器(ReSNE),它通过将伪传感器/网络设备与真实传感器/网络设备相结合来实现虚拟的大规模传感器网络环境。这是必要的,因为除了大型专用通信网络外,还需要大量的真实传感器节点和基站等相关设备,因此很难使用真实环境来评估全国传感器网络。为了模拟传感器网络流量,我们还使用传感器数据生成器,该生成器根据特定的用户定义参数在网络中生成感测数据包。此外,我们开发了一个自动配置工具,使我们能够快速设置环境。在这里,我们讨论了拟议的ReSNE架构的细节,并给出了一些获得的评估结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ReSNE: Reconfigurable sensor network emulator virtualizing integrated large-scale sensor network
In this study, we propose a reconfigurable sensor network emulator (ReSNE) that realizes a virtual large-scale sensor network environment by combining pseudo sensor/network devices and real ones. This is necessary as it is difficult to evaluate nationwide sensor networks using a real environment because of the need for a large number of real sensor nodes and related devices such as base stations, in addition to a large dedicated communication network. To emulate sensor network traffic, we also use a sensor data generator that generates sensed data packets in the network based on specific user-defined parameters. Furthermore, we develop an auto-configuration tool to enable us to set up the environment quickly. Here, we discuss details of the proposed ReSNE architecture and present some of the evaluation results obtained.
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