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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
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Blockchain codificada adaptativa sin tasa para escenarios dinámicos de IoV

Shuo Zhang1, Yuan-Yuan Song2, Ming-Gang Zheng3

  • 1School of Science, Shandong Jianzhu University, Jinan, 250101, Shandong, China.

Scientific reports
|December 26, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio presenta una cadena de bloques codificada adaptativa para Internet de los Vehículos (IoV), que reduce las necesidades de almacenamiento. La novedosa arquitectura garantiza una gestión de datos eficiente en redes vehiculares dinámicas.

Palabras clave:
Blockchain codificadaRed dinámicaInternet de los vehículos (IoV)Consenso ligeroCódigos RaptorCompresión de almacenamiento

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Área de la Ciencia:

  • Ciencias de la Computación
  • Ingeniería de Redes
  • Ciberseguridad

Sus antecedentes:

  • Internet de los Vehículos (IoV) genera datos masivos, lo que plantea desafíos de almacenamiento y seguridad.
  • Las blockchains tradicionales no son adecuadas para IoV con recursos limitados debido a la alta sobrecarga de almacenamiento.
  • Las soluciones de blockchain codificadas existentes no abordan la topología dinámica y las fluctuaciones de nodos de IoV.

Objetivo del estudio:

  • Proponer una arquitectura de blockchain codificada adaptativa sin tasa diseñada específicamente para entornos dinámicos de IoV.
  • Superar las limitaciones de los esquemas de blockchain codificados tradicionales y existentes en redes vehiculares.

Principales métodos:

  • Se utilizaron códigos Raptor sistemáticos para una compresión eficiente de bloques.
  • Se implementó un mecanismo de consenso ligero basado en Función Aleatoria Verificable (VRF).
  • Se introdujo el ajuste dinámico de parámetros para la adaptación de redundancia en tiempo real sin recodificación.

Principales resultados:

  • Se logró una relación de compresión de datos promedio del 97,88%.
  • Se mantuvo una probabilidad de fallo de decodificación por debajo de un umbral especificado [Fórmula: véase el texto].
  • Se demostró una reducción significativa en la sobrecarga de almacenamiento y una mayor robustez en redes vehiculares dinámicas.

Conclusiones:

  • La arquitectura de blockchain codificada adaptativa propuesta es eficaz para la gestión segura y eficiente de datos en IoV.
  • El esquema ofrece una solución práctica para los desafíos de almacenamiento y compartición en entornos vehiculares dinámicos y con recursos limitados.
  • La arquitectura proporciona un enfoque robusto y escalable para futuras aplicaciones de IoV.