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MESTER

机译:掌握

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摘要

For applications requiring frequent data collections from a remote wireless sensor network, it is a challenging problem to design an efficient routing scheme for comprehensively, accurately and timely delivering data packets in each round of data collection over a long period of time. Unlike previous work targeting at maximizing energy efficiency and network lifetime, we propose and analyze in this paper a new routing scheme, called Minimum Energy Spanning Tree for Efficient Routing (MESTER), which is developed under the design objective of maintaining a high quality in data collection for as long as possible. Compared with the existing Minimum Spanning Tree (MST) based schemes like PEDAP and PEDAP-PA, MESTER can achieve comparable but more balanced performance at a much lower complexity. In addition, we define "throughput efficiency" to characterize our quality-oriented design objective. As a new concept with low granularity (packet level), throughput efficiency is found a fair and stable performance metric to different network sizes, node densities and routing schemes. It provides us an additional insight into the network behavior under different resource and capability constraints.
机译:对于需要远程无线传感器网络的频繁数据收集的应用程序,在很长一段时间内在每轮数据收集中全面,准确地及时地在每轮数据收集中全面,准确地提供数据包的有效路由方案是一个具有挑战性的问题。与以前的工作以最大化能效和网络寿命为目标,我们在本文中提出和分析了一种新的路由方案,称为最小能源生成树,用于高效路由(MEST),这是在维持高质量的设计目标下开发的收集尽可能长。与现有的基于跨越树(MST)相比,如PEAP和PAP-PA等方案,MESTE可以以更低的复杂性实现可比但更平衡的性能。此外,我们还定义了“吞吐效率”,以表征我们质量为导向的设计目标。作为具有低粒度(分组级别)的新概念,发现吞吐量效率是不同网络尺寸,节点密度和路由方案的公平稳定的性能度量。它为我们提供了对不同资源和能力约束下的网络行为的额外洞察。

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