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Visual node module: An open‐source extension to the ns‐3 network simulator
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-06-22 , DOI: 10.1002/dac.4451
Afaf Mosaif 1 , Said Rakrak 1
Affiliation  

A wireless visual sensor network is a collective network of directional and battery‐operated sensor nodes equipped with cameras. The field of view of these nodes depends on the camera opening angle, its direction, and its depth of view. Therefore, coverage and object detection in this type of networks are more challenging compared with the traditional wireless sensor networks. Thus, many researchers propose algorithms and solutions in this field that need tests and simulations. In this paper, we focus on network simulator 3 (ns‐3), which is an open‐source and discrete‐event tool suitable for wireless network simulation targeted primarily for research and educational use. The lack of models that can simulate visual sensor nodes in this simulator motivated us to design and develop a new visual node module as an extension of the ns‐3 core libraries and also to adapt the NetAnim tool to present these nodes graphically. This module will help researchers to simulate, test, and visualize their solutions in wireless visual sensor networks field. In this paper, we present the design and implementation of the proposed module. Furthermore, we show how it can be used in ns‐3 to simulate different scenarios of object detection and visualize the results in NetAnim tool.

中文翻译:

可视节点模块:ns-3网络模拟器的开源扩展

无线视觉传感器网络是由配备有摄像头的定向传感器和电池供电的传感器节点组成的集合网络。这些节点的视场取决于摄像机的打开角度,其方向和视场深度。因此,与传统的无线传感器网络相比,这种类型的网络中的覆盖范围和对象检测更具挑战性。因此,许多研究人员提出了该领域中需要测试和仿真的算法和解决方案。在本文中,我们重点介绍网络模拟器3(ns-3),这是一种开放源代码和离散事件工具,适用于主要用于研究和教育用途的无线网络模拟。在此模拟器中缺少可以模拟视觉传感器节点的模型,促使我们设计和开发新的视觉节点模块,作为ns-3核心库的扩展,并且使NetAnim工具以图形方式呈现这些节点。该模块将帮助研究人员在无线视觉传感器网络领域模拟,测试和可视化其解决方案。在本文中,我们介绍了提出的模块的设计和实现。此外,我们展示了如何在ns-3中使用它来模拟对象检测的不同情况并在NetAnim工具中可视化结果。我们介绍了所建议模块的设计和实现。此外,我们展示了如何在ns-3中使用它来模拟对象检测的不同情况并在NetAnim工具中可视化结果。我们介绍了所建议模块的设计和实现。此外,我们展示了如何在ns-3中使用它来模拟对象检测的不同情况并在NetAnim工具中可视化结果。
更新日期:2020-06-22
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