Reduce Data Transmission Energy in Wireless Body Area Network using LRNN Prediction Model

Abstract

The Wireless Body Area Network (WBAN) has become a growing technology to improve health care and provide a cost-effective solution for remote sensing of physiological parameters of the human body.The study focuses on developing a method to reduce transmitted data at the sensor node and compensating for this by having the actual sensor value's error threshold to be comparable from expected values.Request Management Algorithm (RMA) is developed to reduce the amount of requested data based on consecutive successive predictions. The LRNN prediction model has been developed to reduce the amount of data requested based on continuous predictions.