Automated Guided Vehicles (AGVs) operate in synergy to execute specific tasks. These vehicles exchange information to ensure seamless collaboration, prevent collisions, and eliminate task redundancy. The advent of blockchain technology offers a promising avenue for establishing a secure and dependable communication infrastructure for AGVs. Nonetheless, it becomes imperative for AGVs to adopt efficient data transmission methodologies, especially when interacting with the dynamic nature of blockchain infrastructure where data undergoes frequent modifications. In the present study, we introduce a novel data transmission methodology tailored for blockchain-integrated AGVs utilizing the principles of Named Data Networking (NDN). A simulated environment was crafted and executed in NetSim, wherein multiple AGVs collaboratively endeavored to locate concealed objectives within a defined region. Upon discovery of novel elements, such as obstructions or concealed objectives, each AGV would update a collective blockchain repository. This blockchain infrastructure leverages NDN to fetch specific data blocks in response to data queries from individual AGVs. This system ensures that AGVs can navigate and scrutinize their environment with heightened efficiency, drawing upon the collective intelligence and shared experiences of the fleet.

翻译：自动导引车（AGV）通过协同运行来执行特定任务。这些车辆通过信息交换确保无缝协作、防止碰撞并消除任务冗余。区块链技术的出现为建立安全可靠的AGV通信基础设施提供了有前景的途径。然而，当与数据频繁更新的动态区块链基础设施交互时，AGV采用高效的数据传输方法变得至关重要。在本研究中，我们提出了一种基于命名数据网络（NDN）原理、专为区块链集成AGV设计的新型数据传输方法。我们利用NetSim构建并执行了一个仿真环境，其中多辆AGV协作探索指定区域内的隐藏目标。当发现新元素（如障碍物或隐藏目标）时，每辆AGV都会更新一个共享的区块链存储库。该区块链基础设施利用NDN来响应对特定数据块的查询请求。该系统确保AGV能够利用车队的集体智慧与共享经验，以更高效率导航并分析环境。