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Automatic Mobile Vehicle for Adaptive Real-Time Communication Relay

机译:用于自适应实时通信中继的自动移动车辆

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For the currently popular WiFi networks, the problem of communication blind spots is more acute, since the access points (APs) are not placed according to a central plan. In this paper, we design an Cyber physical system (CPS) based on an automatic mobile vehicle (AMV) to guarantee the quality of service (QoS) of real-time applications in WiFi networks. When a user enters the blind spot regions, the AMV is able to detect the deterioration of the userpsilas service quality and then move automatically to an appropriate position between the user and AP to serve as a multimedia repeater for the user and maintain the communication quality. Technologies in many fields, such as WiFi and sensor detection, are integrated in our system. In WiFi networks, AMV makes use of received signal strength indicator (RSSI) to evaluate the network quality. Through configuring many types of sensors, such as acceleration sensors and supersonic sensors, we are able to control the speed and direction of AMV, and effect obstacle avoidance. AMV can intelligently compute the best location to perform relaying based on collected statistics of peripheral sensors. It can also support uninterrupted real-time video transmission.
机译:对于当前流行的WiFi网络,由于没有按照中央计划放置接入点(AP),因此通信盲区的问题更加严重。在本文中,我们设计了一种基于自动移动车辆(AMV)的网络物理系统(CPS),以确保WiFi网络中实时应用的服务质量(QoS)。当用户进入盲区时,AMV能够检测到用户评分服务质量的下降,然后自动移动到用户和AP之间的适当位置,以充当用户的多媒体转发器并保持通信质量。 WiFi和传感器检测等许多领域的技术已集成到我们的系统中。在WiFi网络中,AMV利用接收信号强度指示器(RSSI)评估网络质量。通过配置多种类型的传感器,例如加速度传感器和超音速传感器,我们能够控制AMV的速度和方向,并实现避障。 AMV可以根据收集的外围传感器统计信息智能地计算最佳位置以执行中继。它还可以支持不间断的实时视频传输。

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