A collaborative data storage with incentive mechanism for blockchain-based IoV.

Area of Science:

• Computer Science
• Networking
• Data Storage

Background:

• The Internet of Vehicles (IoV) faces escalating data volumes, leading to storage capacity constraints and privacy concerns.
• Existing solutions struggle to efficiently manage and secure the vast amounts of data generated by connected vehicles.

Purpose of the Study:

• To propose a novel collaborative data storage scheme with an integrated incentive mechanism for the Internet of Vehicles (IoV).
• To address challenges of insufficient storage capacity and potential privacy breaches in IoV environments.

Main Methods:

• Development of the Blockchain-Based Collaborative Data Storage with Incentive Mechanism for IoV (CDS-BIoV) framework.
• Implementation of the Incentive Mechanism Collaborative Data Storage Algorithm (I-CDSA) and Data Offloading Algorithm (DOA).
• Utilizing a competitiveness matrix and incentives to motivate RSU nodes for efficient data reception, storage, and cloud offloading.

Main Results:

• The CDS-BIoV scheme demonstrated a reduction in storage consumption by up to 93% compared to the Generic Parallel Database (GPDB).
• Effectively alleviated storage capacity limitations, especially with an increasing number of data blocks.
• Incentive mechanisms successfully encouraged RSU node participation in data storage and offloading.

Conclusions:

• The proposed CDS-BIoV framework offers a scalable and efficient solution for data storage in the Internet of Vehicles.
• Incentivizing collaborative storage significantly enhances system performance and addresses critical storage limitations.
• The scheme provides a promising approach for managing the growing data demands of IoV ecosystems.