Modelling and analysis of convergence of wireless sensor network and passive optical network using queueing theory
Modelling and analysis of convergence of wireless sensor network and passive optical network using queueing theory
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DOI：
10.1109/wimob.2011.6085392
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发表时间：
2011-10
期刊：
影响因子：
--
通讯作者：
Zhenfei Wang;Kun Yang;D. Hunter
中科院分区：
文献类型：
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作者：
Zhenfei Wang;Kun Yang;D. Hunter
无线传感器网络（WSNs）正在部署越来越广泛的应用，特别是由于其低功耗和可靠性。在大多数应用中，传感器数据必须通过Internet或核心网络发送，这导致了WSN回程问题。无源光网络（脑桥）是下一代接入网技术，非常适合形成将无线传感器网络连接到核心网的回程。本文提出了一种融合无线传感器网络和脑桥的新结构。它是通过排队论建模和分析，采用两个M/M/1队列串联。数值结果表明，如何无线传感器网络和PON尺寸影响的平均队列长度，从而作为未来的资源分配和调度这样的融合网络的指导方针。
Wireless sensor networks (WSNs) are being deployed for an ever-widening range of applications, particularly due to their low power consumption and reliability. In most applications, the sensor data must be sent over the Internet or core network, which results in the WSN backhaul problem. Passive optical networks (PONs), a next-generation access network technology, are well suited form a backhaul which interfaces WSNs to the core network. In this paper a new structure is proposed which converges WSNs and PONs. It is modelled and analyzed through queuing theory by employing two M/M/1 queues in tandem. Numerical results show how the WSN and PON dimensions affect the average queue length, thus serving as a guideline for future resource allocation and scheduling of such a converged network.