THE-FAME: THreshold based Energy-efficient FAtigue MEasurment for Wireless Body Area Sensor Networks using Multiple Sinks

TL;DR

This paper introduces THE-FAME, an energy-efficient protocol for monitoring player fatigue in sports using WBASN, employing thresholds for lactic acid and distance to detect fatigue with multiple sinks for energy efficiency.

Contribution

The paper presents a novel threshold-based fatigue measurement protocol for sports players using WBASN with multiple sinks to enhance energy efficiency.

Findings

Effective detection of player fatigue using threshold parameters.

Improved energy efficiency with multiple sinks in WBASN.

Simulation results validate the protocol's effectiveness.

Abstract

Wireless Body Area Sensor Network (WBASN) is a technology employed mainly for patient health monitoring. New research is being done to take the technology to the next level i.e. player's fatigue monitoring in sports. Muscle fatigue is the main cause of player's performance degradation. This type of fatigue can be measured by sensing the accumulation of lactic acid in muscles. Excess of lactic acid makes muscles feel lethargic. Keeping this in mind we propose a protocol \underline{TH}reshold based \underline{E}nergy-efficient \underline{FA}tigue \underline{ME}asurement (THE-FAME) for soccer players using WBASN. In THE-FAME protocol, a composite parameter has been used that consists of a threshold parameter for lactic acid accumulation and a parameter for measuring distance covered by a particular player. When any parameters's value in this composite parameter shows an increase beyond threshold, the players is declared to be in a fatigue state. The size of battery and sensor should be very small for the sake of players' best performance. These sensor nodes, implanted inside player's body, are made energy efficient by using multiple sinks instead of a single sink. Matlab simulation results show the effectiveness of THE-FAME.