0% Complete
فارسی
Home
/
شانزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Coded Sharding for Vehicular Blockchains: A Lagrange Interpolation-Based Approach to IoV Scalability
Authors :
Behdad Alagha
1
Maedeh Mosharraf
2
1- دانشگاه شهید بهشتی
2- دانشگاه شهید بهشتی
Keywords :
Blockchain Scalability،Decentralization،Internet of Vehicles،Polynomial Encoding،Scalability Trilemma،Sharding Scheme
Abstract :
The rapid growth of Internet of Vehicles (IoV) systems introduces significant scalability and storage challenges, especially as vehicle-generated data must be securely and efficiently managed on resource-constrained infrastructure. Inspired by PolyShard’s coding-theoretic approach to resolving the blockchain trilemma, this paper proposes a Lagrange interpolation-based coded sharding scheme tailored for vehicular blockchain environments. Our method encodes shard data using evaluations of low-degree polynomials, allowing nodes to store compact, coded versions of the chain. We simulate this approach on a 10×10 Manhattan grid topology to assess its storage efficiency, throughput and resilience against adversarial data loss. Experimental results demonstrate that the proposed scheme significantly reduces per-node storage consumption compared to full replication while delivering substantially higher throughput and superior fault tolerance over naïve sharding. Hence, the scheme demonstrates promising adaptability and scalability for dynamic and intermittently connected IoV scenarios, where traditional blockchain systems often fall short. Furthermore, this work lays a foundational step towards scalable and secure vehicular blockchains and opens avenues for integrating coded verification in future deployments.
Papers List
List of archived papers
Knowledge gap extraction based on the learner click behavior in interaction with videos using the association rule algorithm
Yosra Bahrani - Omid Fatemi
طراحی و بهینه سازی زنجیره تأمین پلت چوبی از ضایعات چوب در ایران
فاضل حاجی زاده ابراهیمی - نجمه محمودی - احسان حیدریان فروشانی
تحلیل و بررسی تکنیکهای محاسبات تقریبی
محمد میلاد صیاد - محمد رضا بینش مروستی - سید امیر اصغری
ساخت پیکره برچسب خورده گزارش های آسیب شناسی
مسلم سمیعی پاقلعه - مهرنوش شمس فرد
Analysing effect of news polarity on stock market prediction: a machine learning approach
Golshid Ranjbaran - Dr Mohammad-Shahram Moin - Dr Sasan H Alizadeh - Dr Abbas Koochari
Improving Long-Term Engagement of Insurance Brokerages by Providing Gamified Configurations Based on The Delphi Method
Hosein Bayati - Fattaneh Taghiyareh - Sahand Hashemi
Inner and Outer Bearing Fault Diagnosis of electrical Motors Using a Proposed Algorithm and Vibration Signals
Vahid Safari Dehnavi - Masoud Shafiee
تشخیص خودکار اختلال عروقی ماکولا با عنوان عروق گسترش یافته در تصاویر آنژیوگرافی حاصل از تصویربرداری OCTA
راضیه گنجی - دکتر محسن ابراهیمی مقدم - دکتر رامین نوری نیا
Advanced SMS Spam Detection using Deep Complex Models and Sine-Cosine Algorithm
Sepehr Rezaei - Mohammadreza Shams - Mohsen Alambardar Meybodi
Intent-Based Classification of Multi-Stage Cyber Attacks Using Attacker TTPs and Machine Learning
Fatemeh Imanimehr - Hamed Ebrahimi
more
Samin Hamayesh - Version 44.2.0