A comparison study on node clustering techniques used for target tracking in WSNs

What is it about?

Wireless sensor applications are susceptible to energy constraints. Most of the energy is consumed in communication between wireless nodes. Clustering and data aggregation are the two widely used strategies for reducing energy usage and increasing the lifetime of wireless sensor networks. In target tracking applications, large amount of redundant data is produced regularly. Hence, deployment of effective data aggregation schemes is vital to eliminate data redundancy. This work aims to conduct a comparative study of various research approaches that employ clustering techniques for efficiently aggregating data in target tracking applications as selection of an appropriate clustering algorithm may reflect positive results in the data aggregation process. In this paper, we have highlighted the gains of the existing schemes for node clustering-based data aggregation along with a detailed discussion on their advantages and issues that may degrade the performance. Also, the boundary issues in each type of clustering technique have been analyzed. Simulation results reveal that the efficacy and validity of these clustering-based data aggregation algorithms are limited to specific sensing situations only, while failing to exhibit adaptive behavior in various other environmental conditions.

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Why is it important?

In this work, we present a comparative review and performance analysis of the clustering approaches for target tracking application in WSNs. The literature work in this domain contains reviews and comparative studies, but none of the works has covered clustering techniques for target tracking to aggregate the huge amount of data produced by the mobile target for all the associated techniques or has presented a categorization of the traditional methods. The absence of a thorough study in this domain inspired us to conduct this research. This paper begins with an overview about the clustering schemes and outlines the advantages and objectives of clustering for WSNs. This is followed by an in-depth review of the existing node clustering approaches for target tracking along with listing their advantages and disadvantages. Lastly, the reviewed methods are compared by presenting a performance analysis table.