Reducing the data transmission in Wireless Sensor Networks using the Principal Component Analysis

Abstract

Abstract-Aggregation services play an important role in the domain of Wireless Sensor Networks (WSNs) because they significantly reduce the number of required data transmissions, and improve energy efficiency on those networks. In most of the existing aggregation methods that have been developed based on the mathematical models or functions, the user of the WSN has not access to the original observations. In this paper, we propose an algorithm which let the base station access the observations by introducing a distributed method for computing the Principal Component Analysis (PCA). The proposed algorithm is based on transmission workload of the intermediate nodes. By using PCA, we aggregate the incoming packets of an intermediate node into one packet and as a result, an intermediate node merely sends a packet instead of relaying all the incoming packets. Consequently, we can achieve considerable reduction in data transmission. We have analyzed the performance of the proposed algorithm through numerical simulations. The experimental results show that our algorithm performs better than the existing state of the art PCA-based aggregation algorithms such as PCAg in terms of accuracy and efficiency.

Data Reduction in Low Powered Wireless Sensor Networks

“…The results obtained reaffirm the fact that data reduction obtains high communication resource savings and has a great impact in the extending the life span of the WSN. Although a significant amount of work is ongoing [26], [27], [28] on topics related to data reduction in WSN, there are open issues that can be addressed in the future, specifically when data reduction is achieved by means of adaptive filters. The issues are stated as follows…”

Large-Scale Indexing, Discovery, and Ranking for the Internet of Things (IoT)

“…However, there is high tra c in the centralised approach if a large number of sensors produce data at high rate and scalability becomes an issue. [Rooshenas et al 2010] present a distributed aggregation mechanism on intermediate nodes based on Principal Component Analysis (PCA) to optimise packet transmission to a base station. The intermediate nodes are selected with a constraint that at most two hops are required to connect a node to a base station.…”

A Critical Insight into Congestion Control Mechanism in WSN

“…The power utilization is the main concern for the development of a WSN solutions, [15] proposes solution in order of assessment of power utilization of wireless sensor networks by migrated to cloud computing environment. To maintain optimized data flow during transmission in WSN is also one of the challenges which [23] is able to achieve significantly by applying Principal Component Analysis (PCA) algorithm.…”