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Developing a controlling application of wireless sensor networks simulation

机译:开发无线传感器网络仿真的控制应用程序

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Many wireless sensor network applications must resolve the inherent conflict between energy efficient and nodes of coverage in wireless sensor networks to achieve desired quality of service (QoS). The wireless sensor networks (WSNs) have been the main focus in the past few years, and it is becoming a special issue. We study the problem of controlling the node locations and energy within ad-hoc sensor networks. Network survivability is a very important measure for deciding the efficiency of network protocols. It includes a measure of the network lifetime as well as the quality of service. In fact, these dynamics are very important in evaluating networks. The wireless network applications can be found in battlefield communication, homeland security, pollution sensing and traffic monitoring. As such, there has been an increasing need for defining and developing simulation frameworks for carrying out high-fidelity WSN simulation. In this cause, we present a simulation by including factors such as energy-consumption, Bandwidth, nodes, and coverage and provides an object-oriented definition of target, sensor and sink nodes, sensor and wireless communication nodes, and physical radio such as relating of nodes, mobility model and power model both energy-producing and energy-consuming components, the simulation was developed using C#.
机译:许多无线传感器网络应用程序必须解决高能效与无线传感器网络中的覆盖节点之间的固有冲突,以实现所需的服务质量(QoS)。在过去的几年中,无线传感器网络(WSN)一直是主要关注点,并且正成为一个特殊问题。我们研究了控制临时传感器网络中节点位置和能量的问题。网络生存能力是决定网络协议效率的非常重要的措施。它包括网络寿命以及服务质量的度量。实际上,这些动态对评估网络非常重要。无线网络应用可以在战场通信,国土安全,污染感测和交通监控中找到。因此,对定义和开发用于执行高保真WSN仿真的仿真框架的需求日益增长。因此,我们通过包含诸如能耗,带宽,节点和覆盖范围之类的因素来进行仿真,并提供目标,传感器和接收器节点,传感器和无线通信节点以及物理无线电(如相关对象)的面向对象的定义对节点,移动性模型和功率模型(既产生能量又消耗能量的组件)进行了仿真,并使用C#进行了仿真。

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