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Experimental Study: Link Quality and Deployment Issues in Wireless Sensor Networks

机译:实验研究:无线传感器网络中的链路质量和部署问题

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In this paper, we highlight the extent of the effects of topo-logical specificities on the deployed solutions, which can be useful to refine already proposed models as well as to carry out protocol tuning or adjustments. We present, an intensive experimental study on wireless Link Quality Indicator (LQI). Using Moteiv's Tmote Sky sensors, we deployed multiHopLQI algorithm of TinyOS in various network configurations: homogeneous and heterogeneous; straight-line and grid topologies with various transmission power levels and distances.rnInitially, we study LQI time-varying and try to understand the relationship between transmission power level, distance and link quality and present how some random disturbances due to external (physical changes) or internal phenomena (node movement,power variation) may affect the dynamics of the network. Later, we address impacts and side effects of position and power transmission level of some important nodes in the network like the Base Station in such LQI based algorithms.
机译:在本文中,我们重点介绍了拓扑学特异性对已部署解决方案的影响程度,这对于改进已经提出的模型以及进行协议调整或调整很有用。我们目前对无线链路质量指标(LQI)进行深入的实验研究。使用Moteiv的Tmote Sky传感器,我们在各种网络配置中部署了TinyOS的multiHopLQI算法:同构和异构;最初,我们研究LQI时变,并尝试了解传输功率电平,距离和链路质量之间的关系,并介绍由于外部(物理变化)而产生的一些随机干扰或内部现象(节点移动,功率变化)可能会影响网络的动态。后来,我们在这种基于LQI的算法中解决了一些重要节点(如基站)的位置和功率传输水平的影响和副作用。

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