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A mobility based link layer approach for mobile wireless sensor networks

机译:基于移动无线传感器网络的基于移动性的链路层方法

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Several MAC protocols have been proposed for wireless sensor networks (WSNs). These include T-MAC, D-MAC and the more commonly utilized SMAC. In this paper, we propose a new MAC layer approach to support mobility in WSNs. The proposed technique utilizes an adaptive frame size approach to overcome the effect of frame losses caused by the Doppler shifts under mobile scenarios. An extended Kalman filter is used to predict the frame size for each transmission, which also directly enhances the energy efficiency of the system. Our results show that based on the adaptive frame size predictor and its comparison with the SMAC protocol, the proposed technique can improve overall system performance and deliver enhanced energy efficiency of 24% under mobility. The current implementation of ns-2 does not take into consideration the packet error rate. As another contribution of our work, we have developed a physical layer model for ns-2, which processes the received frame based not only on the fading characteristics of the signal but also the SNR and relative velocity between the nodes. To characterize a more accurate wireless sensor networks' physical layer, we have modeled the Mica-2 sensors in MATLAB and implemented the model in ns-2 for simulations.
机译:已经提出了用于无线传感器网络(WSN)的几种MAC协议。这些包括T-MAC,D-MAC和更常用的SMAC。在本文中,我们提出了一种新的MAC层方法来支持WSN中的移动性。所提出的技术利用自适应帧尺寸方法来克服由移动方案下的多普勒频移引起的帧损耗的效果。扩展卡尔曼滤波器用于预测每个传输的帧大小,这也直接提高了系统的能量效率。我们的结果表明,基于自适应框架尺寸预测仪及其与SMAC协议的比较,该技术可以提高整体系统性能,并在移动性下提供增强的能效24%。 NS-2的当前实现不考虑数据包错误率。作为我们工作的另一个贡献,我们已经开发了NS-2的物理层模型,其不仅基于信号的衰落特性而且基于节点之间的SNR和相对速度处理所接收的帧。为了表征更准确的无线传感器网络的物理层,我们已经建模了Matlab中的MICA-2传感器,并在NS-2中实现了模拟的模型。

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