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Utilizing Joint Routing and Capacity Assignment Algorithms to Achieve Inter- and Intra-Group Delay Fairness in Multi-Rate Multicast Wireless Sensor Networks

机译:利用联合路由和容量分配算法在多速率组播无线传感器网络中实现组间和组内延迟公平性

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摘要

Recent advance in wireless sensor network (WSN) applications such as the Internet of Things (IoT) have attracted a lot of attention. Sensor nodes have to monitor and cooperatively pass their data, such as temperature, sound, pressure, etc. through the network under constrained physical or environmental conditions. The Quality of Service (QoS) is very sensitive to network delays. When resources are constrained and when the number of receivers increases rapidly, how the sensor network can provide good QoS (measured as end-to-end delay) becomes a very critical problem. In this paper; a solution to the wireless sensor network multicasting problem is proposed in which a mathematical model that provides services to accommodate delay fairness for each subscriber is constructed. Granting equal consideration to both network link capacity assignment and routing strategies for each multicast group guarantees the intra-group and inter-group delay fairness of end-to-end delay. Minimizing delay and achieving fairness is ultimately achieved through the Lagrangean Relaxation method and Subgradient Optimization Technique. Test results indicate that the new system runs with greater effectiveness and efficiency.
机译:诸如物联网(IoT)之类的无线传感器网络(WSN)应用程序的最新进展吸引了很多关注。传感器节点必须在受限的物理或环境条件下,通过网络监视并协作地将其数据(例如温度,声音,压力等)通过网络传递。服务质量(QoS)对网络延迟非常敏感。当资源受到限制并且接收器的数量迅速增加时,传感器网络如何提供良好的QoS(以端到端延迟衡量)将成为一个非常关键的问题。本文提出了一种解决无线传感器网络多播问题的解决方案,其中建立了一个数学模型,该模型提供了服务以适应每个订户的延迟公平性。为每个多播组同时考虑网络链路容量分配和路由策略,可确保端到端延迟的组内和组间延迟公平性。拉格朗日松弛法和次梯度优化技术最终实现了最小化延迟和公平性。测试结果表明,新系统的运行效率和效率更高。

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