Directed acyclic graph blockchain for secure spectrum sharing and energy trading in power IoT

Abstract

Peer-to-peer (P2P) spectrum sharing and energy trading are promising solutions to locally satisfy spectrum and energy demands in power Internet of Things(IoT). However, implementation of largescale P2P spectrum sharing and energy trading confronts security and privacy challenges. In this paper, we exploit consortium blockchain and Directed Acyclic Graph (DAG) to propose a new secure and distributed spectrum sharing and energy trading framework in power IoT, named spectrum-energy chain, where a set of local aggregators (LAGs) cooperatively confirm the identity of the power devices by utilizing consortium blockchain, so as to form a main chain. Then, the local power devices verify spectrum and energy micro-transactions simultaneously but asynchronously to form local spectrum tangle and local energy tangle, respectively. Moreover, an iterative double auction based micro transactions scheme is designed to solve the spectrum and energy pricing and the amount of shared spectrum and energy among power devices. Security analysis and numerical results illustrate that the developed spectrum-energy chain and the designed iterative double auction based micro-transactions scheme are secure and efficient for spectrum sharing and energy trading in power IoT.