A sector-based backward direction detection technique for vehicular ad hoc networks

Dongseung Shin, Dongkyun Kim
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Abstract

In vehicular ad hoc networks, a witness vehicle which becomes aware of an accident generates an emergency message and propagates it backwards in multihop manner in order to notify following vehicles of the accident. In this case, the vehicles receiving the message should detect whether or not they are in the backward direction from the witness vehicle. A typical direction detection technique requires floating-point calculations because it depends on the Trigonometrical Function. However, since the floating-point calculation is not supported in Kernel layer of Linux OS. This paper proposes a sector-based backward direction detection technique which utilizes integer calculation. We implemented our proposed technique on an embedded Linux OS, called SnapGear, and showed that it has a negligible detection error.
基于扇区的车载自组织网络反向方向检测技术
在车辆自组织网络中,当目击车辆意识到事故时,会产生紧急信息,并以多跳方式向后传播,以通知后续车辆发生事故。在这种情况下,接收到信息的车辆应该检测自己是否与目击车辆反向行驶。一个典型的方向检测技术需要浮点计算,因为它依赖于三角函数。但是,由于Linux操作系统内核层不支持浮点计算。提出了一种利用整数计算的基于扇区的反向方向检测技术。我们在一个名为SnapGear的嵌入式Linux操作系统上实现了我们提出的技术,并表明它的检测误差可以忽略不计。
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