A mobility based link layer approach for mobile wireless sensor networks

P. Raviraj, H. Sharif, M. Hempel, S. Ci, H. Ali, Jong-Hoon Youn
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引用次数: 11

Abstract

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
移动无线传感器网络中基于可移动性的链路层方法
针对无线传感器网络(wsn),已经提出了几种MAC协议。这些包括麦迪,麦迪和更常用的SMAC。本文提出了一种新的MAC层方法来支持无线传感器网络的移动性。该技术利用自适应帧长方法克服了移动场景下多普勒频移引起的帧丢失的影响。采用扩展的卡尔曼滤波来预测每次传输的帧大小,这也直接提高了系统的能量效率。我们的研究结果表明,基于自适应帧大小预测器及其与SMAC协议的比较,所提出的技术可以提高系统的整体性能,并在移动性下提高24%的能源效率。目前的ns-2实现没有考虑包错误率。作为我们工作的另一个贡献,我们开发了ns-2的物理层模型,该模型不仅基于信号的衰落特性,而且基于信噪比和节点之间的相对速度来处理接收到的帧。为了更准确地描述无线传感器网络的物理层,我们在MATLAB中对Mica-2传感器进行了建模,并在ns-2中实现了该模型进行仿真
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