Joint Optimization of Energy Consumption and Network Latency in Blockchain-Enabled Fog Computing Networks

Fog computing is considered as a solu-tion to accommodate the emergence of booming re-quirements from a large variety of resource-limited Internet of Things(IoT)devices.To ensure the se-curity of private data,in this paper,we introduce a blockchain-enabled three-layer device-fog-cloud het-erogeneous network.A reputation model is proposed to update the credibility of the fog nodes(FN),which is used to select blockchain nodes(BN)from FNs to participate in the consensus process.According to the Rivest-Shamir-Adleman(RSA)encryption algorithm applied to the blockchain system,FNs could verify the identity of the node through its public key to avoid malicious attacks.Additionally,to reduce the com-putation complexity of the consensus algorithms and the network overhead,we propose a dynamic offload-ing and resource allocation(DORA)algorithm and a reputation-based democratic byzantine fault tolerant(R-DBFT)algorithm to optimize the offloading de-cisions and decrease the number of BNs in the con-sensus algorithm while ensuring the network security.Simulation results demonstrate that the proposed algo-rithm could efficiently reduce the network overhead,and obtain a considerable performance improvement compared to the related algorithms in the previous lit-erature.