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Sink-Convergence Cascading Model for Wireless Sensor Networks with Different Load-Redistribution Schemes

机译:具有不同负载再分配方案的无线传感器网络的汇聚级联模型

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摘要

Existing cascading models are unable to depict the sink-convergence characteristic of WSNs (wireless sensor networks). In this work, we build a more realistic cascading model for WSNs, in which two load-redistribution schemes (i.e., idle redistribution and even redistribution) are introduced. In addition, failed nodes are allowed to recover after a certain time delay rather than being deleted from the network permanently. Simulation results show that the network invulnerability is positively correlated to the tolerance coefficient and negatively correlated to the exponential coefficient. Under the idle-redistribution scheme, the network can have stronger invulnerability against cascading failures. The extension of the recovery time will exacerbate the fluctuation of the cascading process.
机译:现有的级联模型无法描绘WSNS(无线传感器网络)的汇聚特性。在这项工作中,我们为WSN构建了更现实的级联模型,其中引入了两个负载再分布式方案(即,空闲重新分配甚至再分配)。此外,允许失败的节点在特定时间延迟之后恢复,而不是永久从网络删除。仿真结果表明,网络禁止能力与公差系数呈正相关,并与指数系数负相关。在闲置再分配方案下,网络可以对级联故障具有更强的无懈可击性。恢复时间的延伸将加剧级联过程的波动。

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