Communication Energy Analysis in Soft Robotic and Artificial Skin Covered Structures Using Modified X-Node WBAN Network

Abstract

The influence of used robotic material on energy consumption is examined and modelled in this work as a function of the path loss coefficient in communication paths between sensor nodes. Because the route loss coefficient for soft robotics materials or ones that are skin-covered is similar, the work simulates future robotic materials similarly to human wearable sensors. The simulation and analysis results demonstrate that there is a power relationship between residual energy and both transmitted data packets and path loss coefficient, which connects energy to path loss. The research established a relationship between residual energy and data size and a relationship between residual energy and path loss coefficient. The research established a relationship between residual energy and data size and a relationship between residual energy and path loss coefficient. The research also demonstrated that a communication channel network will collapse if the planned and desired data to be transferred is greater than the device's rated data capacity. These discoveries are crucial because they help choose the optimum nodes for data rate and optimize the number of nodes to reduce the rate of energy depletion. Additionally, it aids in estimating how long a device can operate before needing to recharge. The mathematical equations created as a consequence of simulation are highly helpful in selecting the number of nodes and path loss coefficient of the structural materials used in robotics. The work employed a modified X-shape node distribution to offer thorough robotic body coverage and a number of deviant pathways or routes. The work enables WBAN design optimization using robots, before using nodes distribution within WBAN on humans.