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Multi-constrained soft-QoS provisioning in wireless sensor networks

机译:无线传感器网络中的多约束软QoS配置

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Due to the inexpensive cost and small size of the sensor node, sensor networks are densely deployed for most applications. In the application oriented wireless sensor networks, traffic is usually mixed with time-sensitive packets and reliability-demanding packets. Hence, routing regardless of the packet characteristics is not efficient. Our goal is to provide soft-QoS to different types of packets since accurate path information can be hardly obtained in wireless networks. In this paper, we utilize the multiple paths between the source and sink pairs for QoS provisioning. Unlike E2E QoS schemes, soft-QoS mapped into links on a path is determined based on local link state information. Through the estimation and approximation of path quality, traditional NP-complete QoS problem is split into many small problems. The idea is to formulate the problem as a probabilistic programming, then based on some approximation technique, we convert it into an integer programming, which is much easierto solve. The resulting solution is also one to the original probabilistic programming. Simulation results demonstrate the effectiveness of our approach.
机译:由于传感器节点的廉价成本和小尺寸,因此对于大多数应用,传感器网络密集地部署。在面向应用的无线传感器网络中,流量通常与时间敏感的分组和可靠性苛刻的数据包混合。因此,无论分组特征如何,都是不高效的。我们的目标是为不同类型的数据包提供软QoS,因为可以在无线网络中几乎无法获得准确的路径信息。在本文中,我们利用了源和宿渣对之间的多条路径进行QoS供应。与E2E QoS方案不同,基于本地链路状态信息确定映射到路径上的链路​​的软QoS。通过估计和近似路径质量,传统的NP完整QoS问题被分成了许多小问题。这个想法是将问题作为一个概率编程,然后基于一些近似技术,我们将其转换为整数编程,这是easierto解决。得到的解决方案也是原始概率编程的解决方案。仿真结果表明了我们方法的有效性。

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