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Modeling Connectivity for Vehicular Adhoc Networks Under Interference

机译:干扰下车辆adhoc网络的建模连接

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Previous studies of connectivity in Vehicular Ad hoc Networks (VANETs) were done with consideration of low interference to the traffic. These studies were done under the assumption that the interference were negligible. However, under high density traffic scenarios, nearby vehicles cause interference to the connectivity of the vehicles causing reduction in signal strength. This study developed analytical models that incorporates interference and can be used to investigate the communication interference of other vehicles’ signals on connectivity under high density traffic in terms of connectivity probability as the performance metric. Under dense traffic scenarios, the interference can be modeled using the Nakagami-m model distribution. The numerical results obtained from the derived models show that increase in intereference leads to decrease in connectivity probability. It is also observed that increase in traffic density decreased the connectivity probability due to increased interference. Furthermore, it is noted that as the communication range increases, connectivity probability also increases. It is also observed that the connectivity probability reduces as the length of the road segment is increased.
机译:以前考虑到交通的低干扰来完成车辆临时网络(VANET)中的连接中的先前研究。这些研究是在假设干扰忽略不计的假设下进行的。然而,在高密度交通场景下,附近的车辆会对导致信号强度降低的车辆的连接产生干扰。本研究开发了一种分析模型,该模型包括干扰,可用于研究与性能度量的连接概率高密度流量下的相连的通信干扰。在密集的交通场景下,可以使用Nakagami-M模型分布建模干扰。从衍生模型获得的数值结果表明,Interference的增加导致连接概率的降低。还观察到,由于干扰增加,流量密度的增加降低了连接概率。此外,应注意,随着通信范围的增加,连接概率也增加。还观察到,随着道路段的长度增加,连接概率降低。

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