Mobile Crowdsensing in Software Defined Opportunistic Networks
Mobile Crowdsensing in Software Defined Opportunistic Networks
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DOI：
10.1109/mcom.2017.1600719
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发表时间：
2017-06-01
影响因子：
11.2
通讯作者：
Guo, Minyi
中科院分区：
文献类型：
--
作者：
Li, He;Ota, Kaoru;Guo, Minyi
移动的人群感知是一种新的范例，共享由智能手机和平板电脑等移动的设备收集的感知数据。由于移动的设备通常通过机会网络连接进行数据传输，因此很难确认每个移动的用户在网络转发中的贡献并找到可持续的激励机制。在这篇文章中，我们提出了一个软件定义的机会网络方案的移动的人群感知。我们设计了一个集中式的控制结构来管理机会网络和移动的人群感知。通过集中式结构，设计了一种软件定义机会网络中数据转发和收集的激励机制，解决了移动的设备和感知服务提供商的最优决策问题。从大量的仿真结果来看，我们的激励机制比原来的解决方案表现得更好。
Mobile crowdsensing is a new paradigm, sharing sensing data collected by mobile devices such as smartphones and tablets. As mobile devices are usually connected by an opportunistic network for data transfer, it is hard to acknowledge the contribution of each mobile user in network forwarding and find a sustainable incentive mechanism. In this article, we propose a software defined opportunistic network scheme for mobile crowdsensing. We design a centralized control structure to manage the opportunistic network and mobile crowdsensing. By the centralized structure, we also design an incentive mechanism for data forwarding and collection in a software defined opportunistic network and solve the optimal decision of mobile devices and the sensing service provider. From the extensive simulation results, our incentive mechanism performs better than original solutions.