无线传感器网络中数据流的加权低能量自适应聚类层次聚合算法

Hanady M. Abdulsalam, Layla K. Kamel
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引用次数: 90

摘要

最近的许多应用程序处理连续的数据流(数据流)。基于数据流的一个重要应用领域是无线传感器网络(wsn)应用领域。由于传感器的使用寿命有限,因此需要开发用于聚合传感器数据的算法,这是无线传感器网络领域的一个重要问题。我们提出了W-LEACH,一种用于wsn的数据流聚合算法,它扩展了Heinzelman等人的LEACH算法。W-LEACH既能处理非均匀网络,也能处理均匀网络,同时不影响网络的生存期。相反,它增加了传感器的平均寿命。我们模拟我们的算法来评估其性能。结果表明,对于均匀和非均匀wsn, W-LEACH提高了传感器的网络寿命和平均寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
W-LEACH: Weighted Low Energy Adaptive Clustering Hierarchy Aggregation Algorithm for Data Streams in Wireless Sensor Networks
Many recent applications deal with continues flows of data (data streams). One important area of applications that is based on data streams is the area of Wireless Sensor Networks (WSNs) applications. Since sensors have limited lifetime, the need for developing algorithms for aggregating sensors' data forms an important concern in the area of WSNs. We present W-LEACH, a data-stream aggregation algorithm for WSNs that extends LEACH algorithm by Heinzelman et al. W-LEACH is able to handle non-uniform networks as well as uniform networks, while not affecting the network lifetime. It, instead, increases the average lifetime for sensors. We simulate our algorithm to evaluate its performance. Results show that W-LEACH increases the network lifetime and the average lifetime for sensors for uniform and non-uniform WSNs.
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