**6. Conclusion**

The work carried out is to select a dynamic HUB for reducing the damage of tissue when an entire network is placed on a human body wirelessly to collect the data and send it to a receiver through a gateway. This chapter improvises the HUB features regarding fixed HUB drawbacks. With our proposed fuzzy-based framework, Hub can be changed from one sensor node to another with a change in parametric values manually. WBAN has become more reliable for patient monitoring. When compared to the one study about dynamic HUB, in this chapter, we imposed a new parameter to reduce the noise or interference of signal while the patient is in motion. This largely builds on the coherence of the system.

Practically, instead of using fixed HUB traditionally, a variable method is adopted and developed in the testbed. The sensors used in selecting the dynamic HUB are the heartbeat sensor, BP sensor(BP180), and temperature sensor(LM35), and other sensor nodes that can be utilized for other purposes of healthcare, in the real world. Different sensor nodes used in our project are real-time applications and the most useful values in analyzing a patient. The energy consumption of HUB that has a critical importance for the lifetime of WBAN is minimized, resulting in an extended network lifetime. By selecting a dynamic HUB, the load work on a traditional HUB decreases and share the burden among all other sensor nodes, which results the larger network life. To that, the selection of dynamic HUB results is reducing the damage of tissue while increasing the network lifespan. In the future, more parameters can be included either in software and hardware for efficient working of the network.
