With the growing popularity of e-commerce, warehouse communication needs to operate in a dynamic environment with multiple robots in the system. Such multi-robot systems have many practical issues in reality. Among the major issues, end-to-end reliable communication is seen to take up prominence in literature. The current work introduces a novel self-adaptive network structure with two of its essential sub-blocks namely ‘Prioritization’ and ‘Optimal Path Selection’ as part of communication protocol for effective and reliable communication. For the first sub-block, we propose transmission deadline and information content based priority model which significantly improves critical packet transmission success rate and for the second sub-block, an optimal path selection method is proposed as a new path planning method which is capable of reducing the outage probability of the failed transmission. A typical configuration of warehouse has been simulated in Network Simulator-3 (NS-3) and real warehouse data has been used in analyzing the proposed functional blocks. A closed-form expression of outage probability is also analytically derived. Results are promising to apply them for dynamic multi-robot systems in general, and specifically for warehouse applications.

中文翻译：

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一种多机器人仓库通信的自适应网络

随着电子商务的日益普及，仓库通信需要在系统中有多个机器人的动态环境中运行。这种多机器人系统在现实中存在许多实际问题。在主要问题中，端到端的可靠通信在文献中占有突出地位。当前的工作引入了一种新颖的自适应网络结构，其两个基本子块即“优先级”和“最佳路径选择”作为有效和可靠通信的通信协议的一部分。对于第一个子块，我们提出了基于传输期限和信息内容的优先级模型，显着提高了关键数据包的传输成功率，对于第二个子块，提出了一种最优路径选择方法，作为一种新的路径规划方法，能够降低传输失败的中断概率。在 Network Simulator-3 (NS-3) 中模拟了典型的仓库配置，并使用真实的仓库数据来分析建议的功能块。中断概率的闭式表达式也被解析导出。结果有望将它们应用于一般的动态多机器人系统，特别是仓库应用。