Abstract
Edge computing enables the data to be processed in the edge of networks in order to decrease the latency of crowdsensing services. However, due to the distributed environment and vulnerability of edges, it is difficult for different edges to reach consistency to provide the same service and protect the data from tampering at the same time. To solve these problems, the Blockchain, a credible and natural decentralized technique, is considered as a suitable tool. In this paper, we proposed a Blockchain-based edge crowdsensing service system in which the edge runs a changeable auction algorithm for every task that the users request to find a winner who can provide corresponding sensing data. Specifically, based on PBFT algorithm, we proposed a consensus algorithm named Leader Stable Practical Byzantine Fault Tolerance (LS-PBFT). This algorithm enables all edges to collaboratively maintain an updated, consistent and credible ledger in Blockchain. Furthermore, the data generated in this process are constructed as a multi-transaction, which can be packaged into a block and stored in the block. Simulation results reveal that the proposed system is not only efficient in generating and storing blocks but also feasible in resisting attacks of malicious users and edges. Our experiments also show that LS-PBFT takes less than 50% of the time cost by PBFT to reach consensus.
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Yu, B., Chen, Y., Fu, S., Yu, W., Guo, X. (2019). Building Trustful Crowdsensing Service on the Edge. In: Biagioni, E., Zheng, Y., Cheng, S. (eds) Wireless Algorithms, Systems, and Applications. WASA 2019. Lecture Notes in Computer Science(), vol 11604. Springer, Cham. https://doi.org/10.1007/978-3-030-23597-0_36
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DOI: https://doi.org/10.1007/978-3-030-23597-0_36
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