Discrete-Time Analysis of Wireless Blockchain Networks

Abstract

Blockchain (BC) technology can revolutionize future networks by providing a distributed, secure, and unalterable way to boost collaboration among operators, users, and other stakeholders. Its implementations have traditionally been supported by wired communications, with performance indicators like the high latency introduced by the BC being one of the key technology drawbacks. However, when applied to wireless communications, the performance of BC remains unknown, especially if running over contention-based networks. In this paper, we evaluate the latency performance of BC technology when the supporting communication platform is wireless, specifically we focus on IEEE 802.11ax, for the use case of users' radio resource provisioning. For that purpose, we propose a discrete-time Markov model to capture the expected delay incurred by the BC. Unlike other models in the literature, we consider the effect that timers and forks have on the end-to-end latency.

Analysis and Evaluation of Synchronous and Asynchronous FLchain

“…Similarly to what we previously proposed in [39], in this paper, we develop a novel batch-service queue model to characterize the latency of FLchain. Blockchain queue theory is an emerging field that has been recently introduced in [40], followed by the approaches in [41], [42], [43].…”

Stochastic Performance Modeling for Practical Byzantine Fault Tolerance Consensus in Blockchain

“…(b) Queueing models of blockchain systems: Li et al [36] provided an overview for queueing models of blockchain systems. From that time forward, some new literatures are further listed, such as Gopalan et al [22], Papadis et al [52], Geissler [20], Mišić et al [43], Fang and Liu [16], Fralix [19], Varma and Maguluri [63] and Wilhelmi and Giupponi [67].…”