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Target-Controlled Packet Forecast and Communication in Wireless Multimedia Sensor Networks

机译:无线多媒体传感器网络中的目标受控数据包预测和通信

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The two main factors which are vital in present multimedia applications are Target-controlled packet forecast and communication. The degradation of Quality of Service (QoS) is because the packets miss their targets and become useless and are often dropped. As the consumption of real-time hypermedia applications and Internet of Things (IoT) has grown into more, multimedia data communication is a key cause to endorse the QoS of citizens. To accomplish the QoS prerequisite in Wireless Multimedia Sensor Networks (WMSNs) the mixture of multiple communication methods is stimulated for packet sending, counting Conventional Network Coding (CNC), Analog Network Coding (ANC), Plain Routing (PR) and Direct Broadcast (i.e., No-Relaying, NR). The combination and integration of communication methods lowers packet falling probability, but complicates the packet transferring and forecast process instead. Hence, an exhaustive search scheme is introduced to get the optimal forecast sequence and equivalent communication method for target constrained multimedia broadcasts in WMSNs. With respect to promote computing proficiency for the formulated problem, two heuristic methods based on Markov chain approximation and dynamic graph is proposed.
机译:目前多媒体应用至关重要的两个主要因素是目标控制的数据包预测和通信。服务质量(QoS)的退化是因为数据包错过了他们的目标并变得无用,并且经常被丢弃。随着实时超媒体应用程序和物联网的消耗(IOT)已经成长为更多,多媒体数据通信是支持公民QoS的关键原因。为了在无线多媒体传感器网络(WMSNS)中实现QoS先决条件(WMSNS),对分组发送,计数传统网络编码(CNC),模拟网络编码(ANC),普通路由(PR)和直接广播(即,直接广播)刺激多种通信方法的混合,没有中继,nr)。通信方法的组合和集成降低了分组下降概率,但代替了数据包传输和预测过程。因此,引入了详尽的搜索方案以获得WMSN中的目标约束多媒体广播的最佳预测序列和等效通信方法。关于促进配制问题的计算熟练程度,提出了一种基于马尔可夫链近似和动态图的启发式方法。

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