A Reliable Blockchain Computation Offloading Scheme for Internet of Things
Chuanjian Yao, Youquan Xian, Chunpei Li, Dongcheng Li, Boyi Wang, Ying Zhao · 2023
At present, the integration of blockchain and Internet of Things (IoT) has become a popular concept. Blockchain can provide IoT with a trusted data-sharing and computing environment. Yet the on-chain computing efficiency of blockchain is still limited by the underlying consensus algorithms, but blockchain can offload computation-intensive tasks to off-chain IoT nodes to improve its performance. However, most of the existing computation offloading schemes are incapable to guarantee the reliability of off-chain computing in untrustworthy IoT environments since participants can collude. Therefore, this work aims at improving the reliability of computation offloading. We introduce a voting-based game into our system workflow to enhance the confidence of computation results. Meanwhile, an anonymous node selection algorithm, which depends on a priority assignment method based on Verifiable Random Function (VRF), is designed to improve the quality of selected nodes and avoid the collusion between participants. The extensive results shows that the proposed scheme can achieve competitive performance in terms of fairness, accuracy, and robustness.