Propagation Delay and Loss Analysis for Bacteria-based Nanocommunications
Research output: Contribution to journal › Article › Scientific › peer-review
|Journal||IEEE Transactions on Nanobioscience|
|Publication status||Published - 2016|
|Publication type||A1 Journal article-refereed|
Flagellated bacteria have been suggested as one of the techniques to deliver information at nanoscales due to their ability to store massive amounts of data in their DNA strands and their mobility properties. In this paper, the propagation delay and message loss rates are mathematically derived for bacterial nanocommunications. The mobility pattern of the flagellated bacteria is investigated and a stochastic model of the bacteria mobility is developed. The proposed model is then used to derive the performance metrics of interest such as the link reliability as well as the propagation delay distribution for the case where N bacteria are used to deliver the message between two nanomachines. Our solutions reveal that at communication distances inherent for bacteria-based nanonetworks (1 10mm) reliable links can be established using just few hundreds of bacteria. The presented approach provides the so-far missing analytical building block for performance analysis of prospective bacteria-based nanonetworks.
- Computational modeling, DNA, Measurement, Microorganisms, Numerical models, Propagation delay, Stochastic processes, Nanocommunications, bacteria nanonetworks, channel modeling, propagation delay