A Path Loss Statistical Model for On-Body WBAN

Abstract

Wireless Body Area Network (WBAN) is a new and promising wireless communication technology which consists several sensors around, on or even implant into human bodies to sense importance human physical signals. In order to erect and develop a robust WBAN, accurate modeling of the body-area network radio-propagation channel and understand the statistical characteristics in close proximity to the human body are required. In this paper, we focus on study the on-body to on-body WBAN path loss model, the environments factors are considered. The statistical parameters are extracted form measurements data, the proposed path loss model is validated through comparison with a measurement-based approach.