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Towards QoE named content-centric wireless multimedia sensor networks with mobile sinks

机译:迈向具有移动接收器的QoE命名的以内容为中心的无线多媒体传感器网络

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To enforce surrounding surveillance efficiently and reduce the heavy cost to deploy various infrastructures, mobile sinks are perceived to have potentials for utilization by wireless multimedia sensor networks (WMSNs). However, since high-mobility usually causes communication disconnections and the high re-transmission rate will consume more network resources, quality of experience (QoE) monitoring and control is a must that WMSNs with mobile sinks (MS-WMSNs) should provide satisfactory services with constrained resources. In this paper, we propose a novel QoE-named content-centric network paradigm for MS-WMSNs, which supports location independent networking and low redundancy data aggregation. Each network node constructs a hierarchical content naming tree (HCNT) negotiated by QoE parameters. The MS prioritizes the sensing data and caches them differentially by identifying these QoE parameters based content names. Simultaneously, to verify the feasibility, we design a stochastic network calculus model to analyse the performances of our proposed network paradigm at worst-case situation. Simulation results show that the proposed paradigm reduces end-to-end communication delay.
机译:为了有效地执行周围监视并减少部署各种基础架构的沉重成本,人们认为移动接收器具有被无线多媒体传感器网络(WMSN)利用的潜力。但是,由于高移动性通常会导致通信断开,并且高重传速率将消耗更多的网络资源,因此,具有移动接收器的WMSN(MS-WMSN)必须提供令人满意的服务,以进行体验质量(QoE)监视和控制。资源有限。在本文中,我们为MS-WMSN提出了一种新的QoE命名的以内容为中心的网络范例,该范例支持位置独立网络和低冗余数据聚合。每个网络节点都构造一个由QoE参数协商的分层内容命名树(HCNT)。 MS通过识别基于内容名称的这些QoE参数来区分感测数据的优先级并对其进行差异缓存。同时,为了验证可行性,我们设计了一个随机网络演算模型来分析我们提出的网络范例在最坏情况下的性能。仿真结果表明,所提出的范例减少了端到端的通信延迟。

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