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A novel multimedia device ability matching technique for ubiquitous computing environments

机译:一种适用于普适计算环境的新型多媒体设备能力匹配技术

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In wireless multimedia sensor networks (WMSNs), wirelessly interconnected devices are able to ubiquitously retrieve multimedia contents such as video and audio streams from the environment. However, since WMSN applications are large-scale, dynamic and highly concurrent, how to achieve both effective multimedia device resource management and collaborative task scheduling simultaneously becomes a serious problem. In this paper, using the hierarchical modeling technique, we first propose a device ability model including spatial information. In order to solve the problem of insufficient capacity of single devices, we then give a composite device ability model and relevant calculation formulae. Next, we introduce a novel device resource matching technique based on the proposed model. Compared with previous works, experimental results show that our technique achieves better recall and precision and meets WMSN application needs more effectively. Furthermore, our proposed approach greatly reduces the design complexity as well as the workload of application designers.
机译:在无线多媒体传感器网络(WMSN)中,无线互连的设备能够从环境中无处不在地检索多媒体内容,例如视频和音频流。然而,由于WMSN应用程序是大规模,动态且高度并行的,因此如何同时实现有效的多媒体设备资源管理和协作任务调度成为一个严重的问题。在本文中,我们使用分层建模技术,首先提出了一种包含空间信息的设备能力模型。为了解决单个设备容量不足的问题,我们给出了一个复合设备能力模型和相关的计算公式。接下来,我们基于提出的模型介绍一种新颖的设备资源匹配技术。与以前的工作相比,实验结果表明我们的技术实现了更好的查全率和精度,并且更有效地满足了WMSN应用需求。此外,我们提出的方法大大降低了设计复杂性以及应用程序设计人员的工作量。

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