MobSink:一个视觉移动无线传感器网络定位模拟器

J. P. J. Peixoto, D. G. Costa
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引用次数: 1

摘要

在智慧城市中规划和部署无线传感器网络(WSN)是一项非常具有挑战性的工作。参与此类实现的人员必须了解传感器和接收器在目标环境中的行为。为了帮助开发新的wsn,在花费时间和金钱进行实际部署之前,通常使用仿真工具来预测节点将如何交互。此外,模拟器可以帮助学生更好地理解无线传感器网络。在本文中,我们提出了MobSink,一个具有多个移动接收器的wsn模拟器。MobSink还允许在智能城市场景中执行模拟,具有街道和运动限制。它还展示了如何为通用场景配置MobSink,并描述了它是如何在内部工作的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MobSink: a Visual Mobile Wireless Sensor Networks Positioning Simulator
The planning and deployment of a WSN (Wireless Sensor Network) in a Smart City can be a very challenging work. People involved in such implementation must be aware of how sensors and sinks may behave in the target environment. To aid the development of new WSNs, simulation tools are often used to predict how nodes will interact before spending time and money in a real deployment. Also, simulator can help students better understand WSNs. In this paper, we present MobSink, a simulator for WSNs with multiple mobile sinks. MobSink also allows to perform simulations in a Smart City scenario, with streets and movements constraints. It also shows how to configure MobSink for a generic scenario and describes how it works internally.
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