Age of Information in In-Body Nano Communication Networks

Abstract

The use of nanobots and in-body nano communication techniques offer manifold options for next generation health care and precision medicine. Scientific progress allows to place nanobots in the human circulatory system and enabled them to exchange data and information among each other as well as to external gateway systems. One of the frequently asked questions is how to identify the optimal number of bots for a task, monitoring frequencies, and communication technologies. In this paper, we introduce and study the age of information (AoI) as a comprehensive metric for describing the performance of in-body nano communication networks. We use the AoI concept in an in-body measurement scenario. Our results clearly demonstrate that AoI is a very helpful tool to study the performance of in-body nano communication networks.