Investigation on different clustering techniques in wireless sensor networks

In the recent years, we have witnessed hyperbolic interest within the potential use of wireless sensor networks (WSNs) in an exceedingly wide selection of applications like area observation, healthcare observation, pollution observation, fire detection, landslide detection, natural disaster hindrance, machine health observation, etc., it is become a hot research space. To support high scalability and higher knowledge aggregation, sensor nodes are typically sorted into disjoint, non-overlapping subsets known as clusters. Clusters produce stratified WSNs that incorporate economical utilisation of restricted resources of sensor nodes and so extends network period. Specifically, we will examine the performance in terms of the ability and quality aspects of those schemes. We tend to conjointly discuss enhancements to be created for future planned cluster schemes. Finally, we tend to summarise and conclude the paper with some future directions.