Computational study demonstrates efficient decentralized data partitioning in IoT blockchain networks, indicating improved storage scalability for resource-constrained devices.
Key Points
To alleviate storage bottlenecks in IoT-based blockchain systems by designing a collaborative storage framework tailored for resource-constrained devices.
Formulated an optimization problem to minimize communication, storage, and query costs subject to node capacity and block redundancy constraints.
Partitioned the storage architecture into two NP-hard subproblems: node group creation and intra-group block allocation.
Developed heuristic algorithms to solve both subproblems and evaluated them using synthetic datasets and an experimental blockchain prototype system.
Established theoretical proofs demonstrating the NP-hardness of both node group creation and block allocation.
Demonstrated through prototype and synthetic evaluations that the collaborative framework effectively preserves complete data availability while reducing individual node storage loads.