A new battery management system for self-powered smart shoes

This paper presents a battery management system on a self-powered smart shoes application. As a mobile device, smart shoes have limited battery reserves and are separated from installed energy sources. The use of batteries must be as save as possible so that the device can still function while in use. Smart shoes can sense heart rate and oxygen levels in blood. Both collected data is encapsulated in a single frame prior to sending it to the database server through wireless sensor network. We developed an energy-saving method to extend battery life through duty cycle. The proposed method used sleep feature, data reduction, wireless transceiver optimization, and fixed network authentication configuration. The sleep feature allows the device active during data acquisition and delivery, the rest it will be going to sleep. The data is reduced to minimize power transmission. Testing energy consumption on devices with proposed battery management is carried out on wireless network ecosystem that uses static addressing. The results are compared with energy consumption from devices with conventional battery management. The results show that the proposed battery management system can reduce energy consumption up to 4.85%. Overall the proposed method has better performance than the conventional method.