Real time reconfiguration of wearable antennas

Abstract

Wearable antennas (WAs) are critical to communication among in, on, or off-body devices, and have been designed for a variety of frequency and radiation requirements. However, various factors, such as position and orientation of body, etc., can affect the antenna performance drastically, and consequently cause undesirable radiation behavior. This paper aims at offering a practical solution to the real-time design of WAs for telemedicine. Due to flexibility and high convergence speed of Particle Swarm Optimization (PSO) algorithms, modified binary PSO is utilized to reconfigure a proposed WA in order to maintain resonance at 2.45GHz at different bend angles.