Stacon: Self-Stabilizing Context Neighborhood for Mobile IoT Devices

Stacon: Self-Stabilizing Context Neighborhood for Mobile IoT Devices
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DOI:
10.1109/percomw.2019.8730667
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发表时间:
2019-03
期刊:
2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
影响因子:
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通讯作者:
Chenguang Liu;Jie Hua;Changyong Hu;C. Julien
Chenguang Liu;Jie Hua;Changyong Hu;C. Julien
中科院分区:
其他
文献类型:
--
作者:
Chenguang Liu;Jie Hua;Changyong Hu;C. Julien

文献摘要

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从板载传感器检索上下文信息对于物联网(IoT)中的许多场景至关重要。智能设备的电池容量和物理尺寸可能会限制可支持的车载传感器,从而限制多智能体物联网系统的应用潜力。在这项工作中,我们提出了一种新的方案,通过无基础设施的协作,在附近的设备之间建立一个上下文邻居。上下文邻域是可以协作以感测环境的物理属性的感测设备的自组织分组。通过这种方式,并非每个设备都需要直接感测每个上下文属性,以便能够在其应用程序中利用信息。我们的方法需要一个分布式算法,动态调整设备的传感和共享策略的基础上的异质性资源的接近。我们使用现成的物联网传感器套件开发了一个原型系统;我们的演示利用了自稳定功能,以展示该系统可以为高层应用带来的好处。
Retrieving context information from on-board sensors is critical to many scenarios in the Internet of Things (IoT). The battery capacity and physical size of smart devices can restrict the on-board sensors that can be supported and thereby limit the potential of applications for multi-agent IoT systems. In this work, we propose a novel scheme for building a context neighborhood among nearby devices through infrastructure-less collaboration. A context neighborhood is an ad hoc grouping of sensing devices that can collaborate to sense physical attributes of the environment. In this way, not every device needs to directly sense every context attribute to be able to leverage the information in its applications. Our approach entails a distributed algorithm that dynamically adjusts a device's sensing and sharing strategy based on the heterogeneity of resources in the proximity. We develop a prototype system using off-the-shelf IoT sensor kits; our demonstration exploits the self-stabilization feature to show the benefits this system could bring to higher-layer applications.