PCA-Guided Routing Algorithm for Wireless Sensor Networks
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, the authors propose a routing algorithm termed as PCA-guided Routing Algorithm (PCA-RA) by exploring the Principal Component Analysis (PCA) approach. Their 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.