Experimental study on designing smart antenna sensor networks and modelling management energy consumption for intelligent systems of internet of medical things

Abstract

The Internet of Medical Things (IoMT) is revolutionizing healthcare through technologies like artificial intelligence, data analysis, and remote monitoring. However, designing energy-efficient Wireless Body Area Networks (WBANs) remains challenging due to the complex propagation characteristics of on-body communication links, which vary with human body posture and size. This study aims to develop smart wearable antenna sensors and model energy consumption in on-body communication links. We have conducted experimental studies on monopole and patch antennas at 2.4 GHz, focusing on body morphological factors and channel characteristics. Our findings reveal that the path loss exponent of on-body links significantly varies with body posture and size, and the proposed energy consumption model effectively enhances energy efficiency during signal transmission. This research contributes to optimizing WBANs for improved healthcare applications.

Keywords

• IoMT
• WBAN
• antenna sensors
• channel modeling
• energy consumption