WiMi Proposes A Vehicular Networks-based Consensus Algorithm to Improve Data Security And Response Speed

WiMi Hologram Cloud a leading global Hologram Augmented Reality (“AR”) Technology provider announced the proposal of a custom vehicular networks-based consensus algorithm (VBCA) to secure data across the network. The algorithm uses a blockchain to maintain a secure pool of confirmed information exchanged in the network. Based on a consortium chain, the solution optimizes transmission efficiency, reduces average data exchange latency, and increases the magnitude of confirmed data exchanges decentralized without compromising data integrity and security.

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In recent years, autonomous vehicles (AVs) have attracted significant attention as an evolving technology for intelligent transportation systems (ITS). These vehicles usually have various onboard resources, such as sensors, radar, cameras, storage devices, event recorders, etc. These devices perform different operations, such as object detection, congestion monitoring, pathfinding, etc. Self-driving vehicles will capture large amounts of data for analysis and make real-time intelligent decisions based on surrounding events. AVs equipped with sensors can capture gigabytes of data, which needs to be processed using complex machine-learning algorithms to infer logical outcomes. For communication efficiency, storage, and high-end processing, 5G and 6G technologies and roadside units (RSUs) connected to a Mobile Edge Computing (MEC) server can be used to receive all the data sent by the vehicle, where the MEC server runs machine learning techniques to generate useful predictions.

WiMi’s VBCA solution, a lightweight decentralized ledger system, allows easy integration of recent blocks with existing P2P networks. It aims to provide a network for physical layer vehicles and devices that can share information efficiently and reliably. The solution reduces communication latency by combining blockchain with P2P networks, enabling the network to combine all active blocks into a lightweight blockchain. The scheme uses a hierarchical architecture to achieve an efficient consensus mechanism. Fixed nodes are responsible for attaching blocks to the blockchain, and all fixed nodes store copies of the blockchain. The scheme design estimates the number of active and inactive blocks in the network and maintains only active blocks instead of full blocks to improve the lightweight property.

In WiMi’s VBCA scheme, the system architecture nodes are divided into two node types: fixed nodes and mobile nodes. Fixed nodes are RSUs that provide geographic coverage for specific areas on the map by connecting to high-power edge servers and are interconnected via backhaul links. Mobile nodes use their sensors to capture event data and send it to the nearest fixed node. Through P2P networks, vehicles can use DSRC to connect more reliably to nearby RSUs, thereby reducing communication latency.

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The consensus algorithm runs on the edge server and appends the verified protocol information to the blockchain stored on the edge server. Since vehicles are equipped with different types of sensors, e.g., self-driving cars can be equipped with cameras, radar, etc., the edge server will receive a large amount of data. Based on the collected data, various statistical and machine-learning tools can be applied to train models that generate multiple predictions for different applications. For example, a predictive learning-based approach can predict the expected load on numerous parts of the traffic network during a specific time window. The prediction information can be stored in a separate blockchain and shared among all fixed nodes through which vehicles can query the information. The system is built based on a network of vehicles and edge servers for managing traffic data and predicting traffic flow. The system works in five layers: application layer, contract layer, consensus layer, network layer, and data layer. The application layer provides the user interface that allows end users (vehicles) to perform general input/output operations. The contract layer verifies the authentication of vehicles and fixed nodes and deploys intelligent contracts. The consensus layer uses custom consensus algorithms to establish trust between nodes in the network. The network layer connects all nodes in a hybrid P2P fashion, with each node using a discovery protocol to find nearest neighbor RSUs to establish links and exchange messages. The data layer manages the protocols and blocks in the ledger, using tools such as hash functions, timestamps, and Merkle trees to ensure data integrity and security.

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