Engineers have created WSN applications for areas including health care, utilities, and remote monitoring. In health care, wireless devices make less invasive patient monitoring and health care possible. For utilities such as the electricity grid, streetlights, and water municipals, wireless sensors offer a lower-cost method for collecting system health data to reduce energy usage and better manage resources. Remote monitoring covers a wide range of applications where wireless systems can complement wired systems by reducing wiring costs and allowing new types of measurement applications. The most well-liked principle for distributed clustering methodology is to choose cluster heads with more residual energy and to rotate them occasionally. Sensors at very heavy traffic locations rapidly deplete their energy resources and die in advance, before the network to collapse. The use of these sensors and the probability of organizing them into networks have discovered many research issues and have highlighted innovative ways to cope with certain problems. Here, the view of distributed clustering mechanism has been elaborated elegantly and different areas where such distributed clustering methodology could be put to use in emerging real world wireless sensor network applications have been compiled and discussed.
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