J-Sim:无线传感器网络的仿真环境

Ahmed Sobeih, Wei-Peng Chen, J. Hou, Lu-Chuan Kung, Ning Li, Hyuk Lim, Hung-Ying Tyan, Honghai Zhang
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引用次数: 175

摘要

无线传感器网络(WSNs)在过去几年中获得了相当大的关注。因此,越来越需要定义和开发用于实现高保真WSN仿真的仿真框架。在本文中,作者提出了一个基于J-Sim的wsn建模和仿真框架,J-Sim是一个完全用Java开发的开源、基于组件的组合网络仿真环境。该框架建立在J-Sim的自主组件架构(ACA)和可扩展互联网络框架(INET)之上,并提供了一个面向对象的定义(i)目标、传感器和汇聚节点,(ii)传感器和无线通信通道,以及(iii)物理介质,如地震通道、移动模型和功率模型(包括能源生产和能源消耗组件)。特定于应用程序的模型可以通过对仿真框架中的类进行子类化并自定义其行为来定义。通过实现几个知名的定位、地理路由和定向扩散协议,演示了所提出的WSN仿真框架的使用。此外,在J-Sim和ns-2中模拟几种典型WSN场景时,进行了性能比较(根据产生的执行时间和使用的内存)。仿真研究表明,J-Sim中提出的WSN仿真框架比ns-2具有更大的可扩展性(特别是在内存使用方面)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
J-Sim: a simulation environment for wireless sensor networks
Wireless sensor networks (WSNs) have gained considerable attention in the past few years. As such, there has been an increasing need for defining and developing simulation frameworks for carrying out high-fidelity WSN simulation. In this paper, the authors presented a modeling and simulation framework for WSNs in J-Sim - an open-source, component-based compositional network simulation environment that is developed entirely in Java. This framework is built upon the autonomous component architecture (ACA) and the extensible internetworking framework (INET) of J-Sim, and provides an object-oriented definition of (i) target, sensor and sink nodes, (ii) sensor and wireless communication channels, and (iii) physical media such as seismic channels, mobility model and power model (both energy-producing and energy-consuming components). Application-specific models can be defined by sub-classing classes in the simulation framework and customizing their behaviors. The use of the proposed WSN simulation framework was demonstrated by implementing several well-known localization, geographic routing, and directed diffusion protocols. In addition, performance comparisons were performed (in terms of execution time incurred, and the memory used) in simulating several typical WSN scenarios in J-Sim and ns-2. The simulation study indicates that the proposed WSN simulation framework in J-Sim is much more scalable than ns-2 (especially in memory usage).
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