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Coordinationless Coordinated Fastlane Network Service in Wireless Multimedia Sensor Networks

机译:无线多媒体传感器网络中的无协调协作式快速通道网络服务

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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.
机译:在观察中,在无线多​​媒体传感器网络中的扩展传感器能力和无线多媒体传感器网络中的有限网络性能之间存在越来越严重的冲突(通常由成本,拥塞,数据包丢失,资源限制等),我们提供自下而上的方法,可以通过利用一组节点(雾节点)容量来加速网络,并将其堆积为相当数量的Fastlane服务。具体而言,我们的方法基于以下设计:1。基于网络内容/服务访问的时间和空间分集的容量累积的新方法:在时间和空间域中始终存在冗余资源和能力。堆积为相当数量,尽管每件作品都可能很小; 2.内容/服务重新编码,通常情况下,某些内容/服务访问需要在无法满足的传感器处需要各种资源(例如,带宽)。我们将内容/服务划分为最终的小片; 3.基于雾计算的网络虚拟化和分布式协调使得雾节点能够有效地连接,并且被核编码的碎片内容/服务可以通过所形成的虚拟网络。基于理论分析,显示我们的方法可以以分布式方式实现全局最佳请求/资源分配,并最大限度地提高网络服务能力。在各种场景(TCP,UDP和两者等)中进行的广泛实验研究还表明,所提出的方法可以适应不同的网络环境,并实现服务质量(QoS)和经验(QoE)的显着提高。此外,随着雾节点的数量增加,我们的方法被证明能够实现线性加速。

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