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Proactive Reconfiguration of Wireless Sensor Networks

机译:主动重新配置无线传感器网络

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摘要

Network dynamics, such as mobility and increase in network load, can influence the performance of a Wireless Sensor Network (WSN). In this paper, we introduce a method which exploits design-time knowledge of the application scenario dynamics to construct a proactive run-time reconfiguration approach. The approach anticipates for the impact that predefined dynamic events can have on the performance of the WSN by switching between various modes of operation defined at design-time. A mode defines the values for the controllable parameters of the network protocol stack. Our approach explicitly differentiates between parameters that can be adapted locally, per node, and those that should be considered globally for the whole WSN. Design-time definition of modes results in a very low run-time overhead as we only require detection of the mode to use and a low overhead synchronization to change global parameters. The approach is made robust by using a recovery approach for nodes unaware of their global mode after, for example, (re-)joining the network. Experiments with an office monitoring deployment and extensive simulations of a cow-health monitoring scenario show that our approach can easily be adopted by practical WSN deployments and results in a significant reduction in resource usage, e.g., power consumption in our examples, at a very low run-time overhead cost.
机译:网络动态性(例如移动性和网络负载的增加)会影响无线传感器网络(WSN)的性能。在本文中,我们介绍了一种方法,该方法利用对应用程序场景动力学的设计时知识来构建主动的运行时重新配置方法。通过在设计时定义的各种操作模式之间进行切换,该方法可以预见预定义的动态事件可能会对WSN的性能产生影响。模式定义了网络协议堆栈的可控制参数的值。我们的方法明确区分了可以在每个节点本地进行调整的参数,以及应该为整个WSN全局考虑的参数。模式的设计时定义导致非常低的运行时开销,因为我们仅需要检测要使用的模式,并需要低开销的同步来更改全局参数。通过对节点(例如,(重新)加入网络后)不知道其全局模式的节点使用恢复方法,使该方法变得可靠。对办公室监控部署进行的实验以及对奶牛健康监控方案的大量模拟表明,我们的方法可以很容易地被实际的WSN部署采用,并且可以在非常低的情况下显着减少资源使用,例如本示例中的功耗运行时开销成本。

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