Data Transmissions in Blockchain enabled AGVs
Junhan Liu, Shile Liu, Chenming Xu, Yuchen Yan

TL;DR
This paper proposes a new data transmission method for blockchain-enabled AGVs using Named Data Networking, demonstrated through a simulated environment where AGVs collaboratively locate objectives and update a shared blockchain.
Contribution
It introduces a novel NDN-based data transmission approach specifically designed for blockchain-integrated AGVs, enhancing their collaborative navigation capabilities.
Findings
Improved efficiency in AGV environmental navigation.
Successful implementation of blockchain data sharing among AGVs.
Enhanced collective intelligence through shared blockchain updates.
Abstract
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…
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Taxonomy
TopicsCaching and Content Delivery · IoT and Edge/Fog Computing · Advanced Nanomaterials in Catalysis
