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Optimized multi-attribute co-design for maximizing efficiency in Wireless Sensor Networks

机译:优化的多属性协同设计,可最大程度提高无线传感器网络的效率

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A key task in Wireless Sensor Networks (WSNs) is to deliver specific information about a spatial phenomenon of interest. However, in WSNs the operating conditions and/or user requirements are often desired to be evolvable, whether driven by changes of the monitored parameters or WSN properties. To this end, few sensor nodes sample the phenomenon and transmit the acquired samples, typically multihop, to the application through a gateway called sink. Accurately representing the physical phenomenon and reliably, timely delivering the user required information comes at the cost of higher energy as additional messages are required. This work proposes a tunable co-design for network optimization to avoid under or over provision of information and interaction of the attributes and their effects on each other. We validate the approach viability through analytical modeling, simulations for a range of requirements.
机译:无线传感器网络(WSN)的一项关键任务是传递有关感兴趣的空间现象的特定信息。但是,在WSN中,无论是否受监视参数或WSN属性的更改驱动,通常都希望操作条件和/或用户要求能够发展。为此,很少有传感器节点对现象进行采样,并通过称为接收器的网关将获取的采样(通常是多跳)传输到应用程序。准确地表示物理现象并可靠,及时地交付用户所需的信息,这是因为需要附加的消息,因此付出了更高的精力。这项工作提出了一种用于网络优化的可调协同设计,以避免信息的过度或过度提供以及属性之间的相互作用以及它们之间的相互影响。我们通过分析建模和一系列要求的仿真来验证方法的可行性。

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