Impact of Network Load on Direct Acyclic Graph Based Blockchain for Internet of Things

Abstract

In this paper, we investigate the impact of network load on the Direct Acyclic Graph (DAG) consensus process for the blockchain enabled Internet of Things. Specifically, Markov chain model has been adopted to illustrate the dynamics in the consensus process for DAG based blockchain networks. The key performance metrics including cumulative weight and transaction confirmation delay are analysed under the unsteady state caused by the fluctuation of transaction arrival rate. The analysis is based on one of the most typical DAGs, Tangle, and the results show that the performance will be affected when the transaction arrival rate fluctuates widely.