11
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Optimal Auction For Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approach

      Preprint
      , , ,

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Blockchain has recently been applied in many applications such as bitcoin, smart grid, and Internet of Things (IoT) as a public ledger of transactions. However, the use of blockchain in mobile environments is still limited because the mining process consumes too much computing and energy resources on mobile devices. Edge computing offered by the Edge Computing Service Provider can be adopted as a viable solution for offloading the mining tasks from the mobile devices, i.e., miners, in the mobile blockchain environment. However, a mechanism needs to be designed for edge resource allocation to maximize the revenue for the Edge Computing Service Provider and to ensure incentive compatibility and individual rationality is still open. In this paper, we develop an optimal auction based on deep learning for the edge resource allocation. Specifically, we construct a multi-layer neural network architecture based on an analytical solution of the optimal auction. The neural networks first perform monotone transformations of the miners' bids. Then, they calculate allocation and conditional payment rules for the miners. We use valuations of the miners as the data training to adjust parameters of the neural networks so as to optimize the loss function which is the expected, negated revenue of the Edge Computing Service Provider. We show the experimental results to confirm the benefits of using the deep learning for deriving the optimal auction for mobile blockchain with high revenue

          Related collections

          Most cited references2

          • Record: found
          • Abstract: not found
          • Article: not found

          Optimal Auction Design

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            COUNTERSPECULATION, AUCTIONS, AND COMPETITIVE SEALED TENDERS

              Bookmark

              Author and article information

              Journal
              08 November 2017
              Article
              1711.02844
              1c59be6e-5131-427a-a621-1f98eab998b9

              http://creativecommons.org/licenses/by/4.0/

              History
              Custom metadata
              cs.GT

              Comments

              Comment on this article