
Research Article
A Vertical Channel Model of Molecular Communication based on Alcohol Molecules
@INPROCEEDINGS{10.4108/eai.3-12-2015.2262444, author={Pengfei Lu and Yang You and Bo Liu and ZhenQiang Wu}, title={A Vertical Channel Model of Molecular Communication based on Alcohol Molecules}, proceedings={9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)}, publisher={ACM}, proceedings_a={BICT}, year={2016}, month={5}, keywords={molecular communication vertical channel model test-bed gravity non-linear least squares method}, doi={10.4108/eai.3-12-2015.2262444} }
- Pengfei Lu
Yang You
Bo Liu
ZhenQiang Wu
Year: 2016
A Vertical Channel Model of Molecular Communication based on Alcohol Molecules
BICT
EAI
DOI: 10.4108/eai.3-12-2015.2262444
Abstract
The study of Molecular Communication(MC) is more and more prevalence, and channel model of MC plays an important role in the MC System. Since different propagation environment and modulation techniques produce different channel model, most of the research about MC are in horizontal direction,but in nature the communications between nano machines are in short range and some of the information transportation are in the vertical direction, such as transpiration of plants, biological pump in ocean, and blood transportation from heart to brain. Therefore, this paper we propose a vertical channel model which nano-machines communicate with each other in the vertical direction based on pure diffusion. We rst propose a vertical molecular communication model, we mainly considered the gravity as the factor, though the channel model is also affected by other main factors, such as the ow of the medium, the distance between the transmitter and the receiver, the delay or sensitivity of the transmitter and the receiver. Secondly, we set up a test-bed for this vertical channel model, in order to verify the difference between the theory result and the experiment data. At last, we use the data we get from the experiment and the non-linear least squares method to get the parameters to make our channel model more accurate.