LS4BUCC: A Low Overhead Storage Architecture for Blockchain Based Unmanned Collaborative Cognition System

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.

I. Motivation and Background

With the rapid development of Internet and the increasement of intelligence for smart devices, unmanned collaborative cognition (UCC) system gradually becomes prosperous, for example the unmanned aerial vehicle (UAV) monitoring system. UCC system is actually an IoT system in special scenarios, where peers interconnect with each other. Through individual perception and cooperation, they share their local cognitions, and finally form into a unified cognition. Thereafter, the system makes decisions according to the current cognition and historical data.