Bio-Internet of Things Through Micro-Circulation Network: A Molecular Communication Channel Modeling

The future of the Internet of Things (IoT) holds great promise, particularly in the realm of healthcare, where the concept of Bio-Internet of Things (B-IoT) has gained significant attention. B-IoT involves the coordination of monitoring and treatment within the human body using bio-implants that require communication. However, how to efficiently communicate among bio-implants is seldom studied. Molecular communication (MC), which uses molecules as information carriers, is a novel communication method of nano-devices for its excellent bio-compatibility and low energy consumption. In every part of the body, there is a micro-circulation network (MCN) responsible for substance exchange which can be utilized as a channel to deliver information efficiently by Bio-implants. However, since the structure of MCN is complicated and the characteristics of blood flow vary, there is not yet a mature channel modeling on MCN, making it impossible to design and evaluate the performance of B-IoT. In this paper, we address the need for efficient communication channels in B-IoT by exploring the potential of micro-circulation networks (MCN) in MC. We have fully analyzed the characteristics of MCN and blood flow and derived the mathematical model of channel impulse response. We also built a simple end-to-end communication model based on MCN and analyzed its error probability and mutual information from a communication perspective. The numerical results have shown that MCN is an effective communication channel of MC for B-IoT in the scale of m and mm.