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Distributed Schemes for Crowdsourcing-Based Sensing Task Assignment in Cognitive Radio Networks

机译：基于众包的传感任务分配在认知无线电网络中的分布式方案

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摘要

Spectrum sensing is an important issue in cognitive radio networks. The unlicensed users can access the licensed wireless spectrum only when the licensed wireless spectrum is sensed to be idle. Since mobile terminals such as smartphones and tablets are popular among people, spectrum sensing can be assigned to these mobile intelligent terminals, which is called crowdsourcing method. Based on the crowdsourcing method, this paper studies the distributed scheme to assign spectrum sensing task to mobile terminals such as smartphones and tablets. Considering the fact that mobile terminals' positions may influence the sensing results, a precise sensing effect function is designed for the crowdsourcing-based sensing task assignment. We aim to maximize the sensing effect function and cast this optimization problem to address crowdsensing task assignment in cognitive radio networks. This problem is difficult to be solved because the complexity of this problem increases exponentially with the growth in mobile terminals. To assign crowdsensing task, we propose four distributed algorithms with different transition probabilities and use a Markov chain to analyze the approximation gap of our proposed schemes. Simulation results evaluate the average performance of our proposed algorithms and validate the algorithm's convergence.
机译：频谱感知是认知无线电网络中的一个重要问题。只有当感知到许可无线频谱空闲时，未经许可的用户才能访问许可无线频谱。由于智能手机和平板电脑等移动终端在人们中很受欢迎，因此可以将频谱感知分配给这些移动智能终端，这被称为众包方法。本文基于众包方法，研究了一种将频谱感知任务分配给智能手机和平板电脑等移动终端的分布式方案。考虑到移动终端的位置可能会影响感知结果，设计了一个精确的感知效果函数用于基于众包的感知任务分配。我们的目标是最大化感知效果函数，并将此优化问题用于解决认知无线电网络中的众感知任务分配问题。这个问题很难解决，因为随着移动终端的增长，这个问题的复杂性呈指数增长。为了分配众感知任务，我们提出了四种具有不同转移概率的分布式算法，并使用马尔可夫链分析了我们提出的方案的近似差距。仿真结果评估了我们提出的算法的平均性能，并验证了算法的收敛性。

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    Linbo Zhai; Hua Wang; Chengcheng Liu;

  • 作者单位

    Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Shandong Normal Universit;

    School of Computer Science and Technology Shandong University;

    Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Shandong Normal Universit;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线通信;
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