Data explosion of Blockchain-Based Tracking and Tracing Systems: A Review
الكلمات المفتاحية:
Blockchain، Tracking، Tracing، Data Explosion، Data Sizeالملخص
Blockchain technology enables secure and transparent information exchange within decentralized environments. Its distributed architecture and continuous protocol improvements help streamline validation processes while supporting network scalability. In blockchain systems, transaction verification relies on digital information units recorded across distributed ledgers. However, this design inherently leads to growing data accumulation over time, as historical transactions must be preserved permanently. This data growth creates significant challenges for storage-dependent applications, particularly tracking and tracing systems, where real-time location monitoring and product authentication generate massive datasets. The resulting storage costs also affect other blockchain-enabled services, including video recognition and artificial intelligence applications, which often underperform when deployed on conventional hardware within tracking environments. This review paper examines blockchain's operational framework, exploring its fundamental concepts, classification schemes, underlying principles, and practical implementations in tracking and tracing contexts. The primary focus is addressing data proliferation issues within blockchain networks, specifically as they relate to tracking and tracing systems. Additionally, this study provides a thorough analysis of existing research contributions in this domain.
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