Edge-computing has played an important role for remote healthcare networks in modern days as institutions have implemented the Technical Issues for healthcare applications.These are some of the key challenges of mobile health care technologies focused on edge computing involves maintaining the capacity of medical equipment, while thus increasing the long - term survival of the healthcare application.For healthcare applications, thus, an energy effective surface method is essential.Recently, many methods have been suggested to increase industrial 's lifetime, but clustering is favored to provide environmental sustainability in healthcare applications.The major drawback to the new clustering strategy is that in their interaction framework the probability to network congestion is not addressed that may not create a stable communication issues, and also decreases the energy of health care nodes.In this study, it concentrates on creating a clustering algorithm for cluster formation for healthcare applications to provide effective interaction for technological device issues.From the empirical tests, it is discovered that the current works better than comparable strategies in terms of efficiency and energy usage.Therefore, it could be inferred that has suggested not only to reduce the energy consumption of edge-computing devices, but also to spread cluster heads throughout the network equally throughout order to maximize their network in existence.