Fuzzy-based target tracking on “Vehicular Grid Sensor Networks”

Yih-Fuh Wang, Chan Wu
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引用次数: 0

Abstract

In Vehicular Grid Sensor Network (VGSN), because the operation of individual vehicles and mobile speed and direction, contact between them fragile and unstable. It has multicast links suddenly fail to overcome the problems, so that the message flows to each node, and increase the volume of traffic control. In this paper, we propose a fuzzy-based target tracking scheme that will re-route the link path when the link becomes weak so as to maintain the vehicle-to-vehicle connections to make the whole VSN more stable. In addition, due to the arbitrary speeds of vehicles, the sensors installed in different vehicles may have different reaction times. We also take into account a suitable alarm range as the moving speed changes, although this action increases the control overhead. Despite this reduction in average latency, this intelligent approach enables higher survivability and more effective on re-routing.
基于模糊的“车载网格传感器网络”目标跟踪
在车辆网格传感器网络(VGSN)中,由于单个车辆的运行与移动速度和方向有关,它们之间的接触脆弱而不稳定。它克服了组播链路突然失效的问题,使消息流向各个节点,增加了对流量的控制。在本文中,我们提出了一种基于模糊的目标跟踪方案,该方案在链路变弱时重新路由链路路径,以保持车对车的连接,使整个VSN更加稳定。此外,由于车辆的任意速度,安装在不同车辆上的传感器可能会有不同的反应时间。随着移动速度的变化,我们也考虑了一个合适的报警范围,尽管这个动作增加了控制开销。尽管减少了平均延迟,但这种智能方法支持更高的生存能力和更有效的重路由。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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