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End-to-end delay bound analysis in multimedia sensor network using stochastic network calculus

机译:使用随机网络微积分的多媒体传感器网络的端到端延迟分析

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Multimedia sensor network (MSN) has been deployed in many fields owing to its reliability, flexibility and availability of multimedia data. Correspondingly more challenges draw into the QoS guarantee research. In this paper, we establish a comprehensive performance analytical framework for MSN considering both the traffic self-similarity and stochastic service curve of MSN with S-MAC protocol based on stochastic network calculus. With this framework, we derive the m.b.c stochastic arrival curve of Fraction Brownian Motion (FBM) traffic and the stochastic service curve of MSN which adopts sink-tree model. Furthermore, a stochastic end-to-end delay bound for MSN is presented based on the two curves. Moreover we analyze the delay bound qualitatively to get the effect of two key parameters. Finally, numerical experiment and scenario simulation are conducted on Matlab and NS-2 respectively to validate the correctness and tightness of our framework.
机译:由于其可靠性,灵活性和多媒体数据的可用性,多媒体传感器网络(MSN)已在许多领域部署。相应挑战更多地利用QoS保证研究。在本文中,考虑到基于随机网络微积分的S-MAC协议的MSN交通自相似性和随机服务曲线建立了一个综合性能分析框架。借助本框架,我们推出了分数布朗运动(FBM)流量的M.B.C随机到达曲线和采用水槽模型的MSN的随机服务曲线。此外,基于两条曲线呈现用于MSN的随机端到端延迟。此外,我们分析了定性地界限,以获得两个关键参数的效果。最后,数值实验和场景模拟分别在Matlab和NS-2上进行,以验证我们框架的正确性和密封性。

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