Adaptive power management for self-powered IoT on smart shoes

Abstract

This paper presents an adaptive method for power management in smart shoes data transmission. The device communication module consumes a lot of energy. The transmission power is set to maximum by default. The maximum transmission power is not needed when the node is near the sink. But, the low transmission power is not guaranteed data successfully sent when the device is far from the sink. The transmission power control method is important to avoiding retransmission and improve energy efficiency. The proposed method uses a fuzzy logic controller (FLC) to develop an adaptive system. The FLC uses RSSI and the amount of available energy as an input parameter. The system will choose the shortest path based on RSSI. Data exchange between nodes scattered in smart and moving shoes with users can be set by Fuzzy placed on the sink. Sink collects data and sends it to the cloud. The test is carried out on the general device using conventional method compared to the proposed method. The lifetime of both devices compared. Based on experiments, sports fields with several users with relaxed, brisk and running modes show significant power savings compared to conventional methods. The proposed method provides energy efficiency up to 9.2% better than conventional power management.