无线传感器网络中数据采集树的直径-聚合延迟权衡

N. Meghanathan
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引用次数: 0

摘要

我们将聚合延迟定义为数据在跨越传感器网络所有节点的数据收集树(DG树)中聚合所需的最小时隙数;DG树的直径是从叶子节点到根节点的最大距离(跳数)。我们假设DG树的同一层或不同层的中间节点可以使用不同的CDMA(码分多址)代码同时聚合来自各自子节点的数据;但是,中间节点必须安排不重叠的时隙(每个子节点一个时隙)来聚合来自自己的子节点的数据。我们采用了一种算法来确定基于瓶颈节点权值(BNW)和瓶颈链路权值(BLW)的DG树的每个中间节点的最小聚合延迟。我们观察到BNW-DG树的树径较小,但聚合延迟明显较大;另一方面,随着节点密度的增加,BLW-DG树的树径更大,聚集延迟相对较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diameter-Aggregation Delay Tradeoff for Data Gathering Trees in Wireless Sensor Networks
We define the aggregation delay as the minimum number of time slots it takes for the data to be aggregated in a Data Gathering tree (DG tree) spanning all the nodes of the sensor network; the diameter of a DG tree is the maximum distance (number of hops) from a leaf node to the root node of the tree. We assume that intermediate nodes at the same level or different levels of a DG tree could simultaneously aggregate data from their respective child nodes using different CDMA (Code Division Multiple Access) codes; but, an intermediate node has to schedule non-overlapping time slots (one for each of its child nodes) to aggregate data from its own child nodes. We employ an algorithm to determine the minimum aggregation delay at every intermediate node of the Bottleneck Node Weight (BNW) and Bottleneck Link Weight (BLW)-based DG trees. We observe the BNW-DG trees to incur a smaller tree diameter, but a significantly larger aggregation delay; on the other hand, the BLW-DG trees incur a larger tree diameter and a relatively lower aggregation delay, especially with increase in node density.
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