**2. Related work**

The benefits of selecting dynamic HUB through different metrics had a sharp fall down in the damaging of tissues or organs throughout the human body. From the outside, the deployed sensor nodes may be good but practically this causes patients an emergency condition which raises their complexity of the problem.

Not many studies have been made for the reduction of this effect on a sick person. As SAR is considered a major conflict for the rise, studies are made only on estimating and evaluating SAR [5].

By considering the location of the destination node in WBAN as a major part, Ahmed et al. proposed a technique compared to the SAR (Specific Absorption Rate) values under various conditions. It is used to estimate the SAR response on the human body.

Another proposed technique by Wu and Lin to adjust a relay node across the wrist and arm. In return, this will make sensor nodes transmit data packets to HUB with the lowest SAR values and efficient packet rate transmission. This uses an algorithm known as practical swarm optimization to maintain and identify the position of the relay node. No literature survey is added to their works. The performance of HUB is analyzed by Cicioglu and Calhan [6].

Later on, Cicioglu and Calhan made their study on implementing the techniques to maintain a HUB without any loss or damage to survivors [7]. Some other works may be added based on WBAN and SAR issues, but there is no literature study other than a specific absorption-based dynamic HUB selection, This work is extended with the fuzzy-based system in our chapter along with a new additional parameter SINR(Signal to Interference Noise Ratio). This is a major factor while transmitting the data or collecting the information from a patient. If a patient moves or any sensors placed in the network are in motion, then Interference occurs which weakens the network lifetime and manipulates the accurate data. The other major factor causing a signal to be disturbed is noise, which will be eradicated by implementing SINR in our dynamic HUB selection process. When compared to another literature survey, SINR is implemented in this chapter, to reduce the noise, interference and increasing the network lifetime. The proposed method selects a hub based on few parameters along with the signal interference or disturbance during the transmission for better and reliable communication.
