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LVWNet: an hybrid simulation architecture for wireless sensor networks
Design Automation for Embedded Systems ( IF 1.4 ) Pub Date : 2017-11-13 , DOI: 10.1007/s10617-017-9191-y
Gilles Silvano , Ivanovich Silva , Leonardo Oliveira , Marcos Pinheiro , Bruno Ferreira

Internet of Things (IoT) is a reality right now and IoT applications has being applied for many different scenarios. Every IoT scenario has stringent requirements and each new developed application must be tested before being embedded on real devices. There are two main approaches for testing IoT applications, real testbeds and network simulators. Real testbeds are the most accurate test environments, although creating scenarios with a high density of devices or analyze complex wireless sensor networks data (e.g. mobility) can be very costly. Due to limitations of real testbeds, wireless networks simulators are the most used tool for testing new wireless applications. Despite of relying on mathematical models to simulate securely IoT scenarios, it increases the development effort by the need of implementing a different version of the application for testing purposes. Also, the available simulators lacks some important features for prototyping IoT applications. Thus, this work presents the Linux Virtual Wireless Network, a hybrid simulation environment for wireless networks that provides flexibility by virtualization of wireless nodes and topology of the network, also the possibility of connecting real devices to the virtual topology, creating a hybrid scenario that can be used to achieve better analysis and validation of IoT applications.

中文翻译:

LVWNet:用于无线传感器网络的混合仿真架构

物联网(IoT)现在是现实,物联网应用程序已应用于许多不同的场景。每个物联网场景都有严格的要求,每个新开发的应用程序必须先经过测试,然后才能嵌入到真实设备中。有两种主要的测试IoT应用程序的方法,即真实的测试平台和网络模拟器。真实的测试平台是最准确的测试环境,尽管创建具有高密度设备的场景或分析复杂的无线传感器网络数据(例如,移动性)可能会非常昂贵。由于实际测试台的限制,无线网络模拟器是测试新无线应用程序的最常用工具。尽管依靠数学模型来安全地模拟物联网场景,由于需要出于测试目的而实现不同版本的应用程序,因此增加了开发工作量。而且,可用的模拟器缺少一些用于物联网应用原型设计的重要功能。因此,这项工作提出了Linux虚拟无线网络,这是一种用于无线网络的混合仿真环境,可通过无线节点的虚拟化和网络拓扑来提供灵活性,还可以将实际设备连接到虚拟拓扑,从而创建可以用于更好地分析和验证物联网应用程序。
更新日期:2017-11-13
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