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首页> 外文会议>2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications >Assisted link prediction (ALP) protocol in robotic communications
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Assisted link prediction (ALP) protocol in robotic communications

机译：机器人通信中的辅助链路预测（ALP）协议

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摘要

Robotic applications are important in both indoor and outdoor environments. Establishing reliable end-to-end communication among robots in such environments are inevitable. Many real-time challenges in robotic communications are mainly due to the dynamic movement of robots, battery constraints, absence of Global Positioning System (GPS), etc. After recognizing these challenges, building a communication framework among the robots demands the prior knowledge of network connectivity. In this paper, we explore the idea of developing real-time link prediction mechanism between robots by Assisted Link Prediction (ALP) protocol. This is a novel method with intelligent decision process, which can be implemented on the real robots. It resolves many real-time challenges like multiple link ambiguity, accuracy of prediction, improving Packet Reception Ratio (PRR) and reducing energy consumption in-terms of lesser retransmissions. Keeping in view the easy portability of this protocol, we develop the entire software package in Robot Operating System (ROS) framework with the help of Gazebo Simulator and port on the real test-bed using Rpi-3 boards.
机译：机器人应用在室内和室外环境中都很重要。在这种环境下，在机器人之间建立可靠的端到端通信是不可避免的。机器人通信中的许多实时挑战主要是由于机器人的动态运动，电池限制，缺少全球定位系统（GPS）等。认识到这些挑战之后，在机器人之间建立通信框架需要对网络有先验的知识。连接性。在本文中，我们探索了通过辅助链接预测（ALP）协议开发机器人之间的实时链接预测机制的想法。这是一种具有智能决策过程的新颖方法，可以在真实的机器人上实现。它解决了许多实时挑战，例如多链路歧义，预测准确性，提高了数据包接收率（PRR）并减少了重传次数，从而降低了能耗。考虑到该协议的易移植性，我们在Gazebo Simulator的帮助下在Robot Operating System（ROS）框架中开发了整个软件包，并在使用Rpi-3板的真实测试台上进行了移植。

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