Coordinationless Coordinated Fastlane Network Service in Wireless Multimedia Sensor Networks

Zhonghu Xu, Kai Xing
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引用次数: 1

Abstract

Motivated by the observation that there is an increasingly aggravated conflict between the expanding sensor capabilities for sensing service/content and the limited network performance in wireless multimedia sensor networks (usually caused by cost, congestion, packet loss, resource limit, etc.), we provide a bottom-up approach to speedup the network by leveraging a group of nodes' (fog nodes) capacity and piling them up as a considerable amount for fastlane service. Specifically, our approach is based on the following designs: 1. A novel way for capacity cumulation based on temporal and spatial diversity of network content/service access: there always exists redundant resources and ability among other sensors in time and spatial domain that can be piled up as a considerable amount, though each piece may be really small; 2. Content/Service Recoding, it is often the case that some content/service access require various resources (e.g., bandwidth) at a sensor who cannot meet. we divide content/service into ultimate small slices; 3. fog computing based network virtualization and distributed coordination enable the fog nodes be efficiently connected, and the recoded fragmented content/service can pass through the formed virtual network. Based on theoretical analysis, it is shown that our approach could achieve global optimal request/resource allocation in a distributed manner and maximize the network service ability. The extensive experimental study conducted in various scenarios (TCP, UDP, and both, etc.) also shows that the proposed approach could adapt to different networking environments and achieve significant improvement of quality of service (QoS) and experience (QoE). Furthermore, our approach is shown to be able to achieve linear speedup as the number of fog nodes increases.
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无线多媒体传感器网络中的无协调快速通道网络服务
由于观察到无线多媒体传感器网络中用于传感服务/内容的不断扩展的传感器能力与有限的网络性能之间的冲突日益加剧(通常由成本、拥塞、数据包丢失、资源限制等引起),我们提供了一种自下而上的方法,通过利用一组节点(雾节点)的容量并将它们堆积成相当数量的快速通道服务来加速网络。具体来说,我们的方法基于以下设计:1。一种基于网络内容/服务访问时空多样性的容量积累新方法:在时间和空间域中,其他传感器之间总是存在冗余的资源和能力,这些资源和能力可以大量堆积,尽管每一块可能很小;2. 内容/服务重新编码,通常情况下,一些内容/服务访问需要各种资源(例如,带宽)在一个传感器不能满足。我们将内容/服务分成最终的小块;3.基于雾计算的网络虚拟化和分布式协同,使雾节点高效连接,编码后的碎片化内容/服务通过形成的虚拟网络。理论分析表明,该方法能够以分布式方式实现请求/资源的全局最优分配,使网络服务能力最大化。在各种场景(TCP、UDP、两者都有等)下进行的大量实验研究也表明,该方法能够适应不同的网络环境,并显著提高服务质量(QoS)和体验(QoE)。此外,我们的方法被证明能够随着雾节点数量的增加而实现线性加速。
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