PCA-Guided Routing Algorithm for Wireless Sensor Networks
PCA-Guided Routing Algorithm for Wireless Sensor Networks
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DOI：
10.1155/2012/427246
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发表时间：
2012-12
期刊：
影响因子：
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通讯作者：
Gong Chen;L. Tan;Yanlin Gong;Wei Zhang-
中科院分区：
文献类型：
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作者：
Gong Chen;L. Tan;Yanlin Gong;Wei Zhang-
无线传感器网络 (WSN) 的一个重要性能问题是网络中所有节点在网络生命周期内消耗的总能量。在本文中，我们通过探索主成分分析（PCA）方法提出了一种称为PCA引导路由算法（PCA-RA）的路由算法。我们的算法通过实现最小化WSN网络中节点与簇中心之间的距离之和的目标，显着降低了能耗并延长了网络寿命。结果表明，PCA-RA 可以通过形成近乎最优的类似 K 均值的聚类结构在 WSN 中有效实现。此外，它可以减少网络负载，同时在数据聚合过程中保持传感器测量的准确性。我们通过模拟验证了所提出算法的有效性和效率。理论分析和仿真结果都表明该算法可以以更少的能耗显着地执行，从而延长网络的系统寿命。
An important performance concern for wireless sensor networks (WSNs) is the total energy dissipated by all the nodes in the network over the course of network lifetime. In this paper, we propose a routing algorithm termed as PCA-guided routing algorithm (PCA-RA) by exploring the principal component analysis (PCA) approach. Our algorithm remarkably reduces energy consumption and prolongs network lifetime by realizing the objective of minimizing the sum of distances between the nodes and the cluster centers in a WSN network. It is demonstrated that the PCA-RA can be efficiently implemented in WSNs by forming a nearly optimal K-means-like clustering structure. In addition, it can decrease the network load while maintaining the accuracy of the sensor measurements during data aggregating process. We validate the efficacy and efficiency of the proposed algorithm by simulations. Both theoretical analyses and simulation results demonstrate that this algorithm can perform significantly with less energy consumption and thus prolong the system lifetime for the networks.