基于动态聚类的无线传感器网络节能技术

Farzad Kiyani, Hamidreza Tahmasebi Rad, Hadi Chalangari, Sajjad Yari
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引用次数: 13

摘要

本文提出了一种用于无线传感器网络节能的动态聚类算法。我们的目标是降低失靶概率,提高跟踪精度。第一阶段包括选择簇头和创建簇。在下一阶段,新的基于移动目标的创建集群。所以簇头计算目标的当前位置。在另一个阶段,通过在节点之间路由目标来完成环境中的目标跟踪。这种情况下,节省了整个网络的能量。我们在ns-2模拟器中实现了跟踪算法。我们算法的缺失率是9%
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DCSE: A Dynamic Clustering for Saving Energy in Wireless Sensor Network
In this paper, a dynamic clustering for saving energy for wireless sensor network suggested. Our goal is to decrease the probability of missing the target and to increase the tracking exactness. First phase is consisting of selecting cluster head and creating clusters. In the next phase, new creating cluster based on moving targets. So that cluster head calculates the current location of target. In other phase, target tracking in environment be done by routing target among nodes. This cases cause saving energy in total network. We implemented our tracking algorithm in ns-2 simulator. Missing rate in our algorithm is 9%
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