LS4BUCC: A Low Overhead Storage Architecture for Blockchain Based Unmanned Collaborative Cognition System
Xunhui Zhang, Huaimin Wang, Peichang Shi, Xiang Fu · 2019
In unmanned collaborative cognition scenarios, traditional IoT systems are facing with data security and node privacy problems. However, blockchain together with data encryption technique enables the trustless network due to the tamper-proof, anonymity and unbreakable properties. Nevertheless, there are still some shortages when combining blockchain with IoT systems, for example the storage consumption. Generally speaking, validation nodes in blockchain network need to store a complete copy of the ledger so as to verify transactions and reach the whole network consensus. However, in unmanned collaborative cognition scenarios, many devices' storage capacity are limited. Therefore, in order to solve the storage problem, we propose LS4BUCC, a low overhead storage architecture regarding to the new features of unmanned collaborative cognition systems. It selectively stores data according to the value density. Based on three storage mechanisms and two supportive methods, LS4BUCC can reduce the data storage and maintain the system security and efficiency at the same time.