Back to Search
Start Over
Multi-Hop Conjugation Based Bacteria Nanonetworks
- Source :
- IEEE Transactions on NanoBioscience. 12:47-59
- Publication Year :
- 2013
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2013.
-
Abstract
- Molecular communication is a new paradigm for nanomachines to exchange information, by utilizing biological mechanism and/or components to transfer information (e.g., molecular diffusion, neuronal networks, molecular motors). One possible approach for molecular communication is through the use of bacteria, which can act as carriers for DNA-based information, i.e., plasmids. This paper analyzes multi-hop molecular nanonetworks that utilize bacteria as a carrier. The proposed approach combines different properties of bacteria to enable multi-hop transmission, such as conjugation and chemotaxis-based motility. Various analyses have been performed, including the correlation between the success rate of plasmid delivery to the destination node, and the role of conjugation in enabling this; as well as analyses on the impact of large topology shapes (e.g., Grid, Random, and Scale-free) on the success rate of plasmid delivery for multiple source-destination nanonetworks. A further solution proposed in this paper is the application of antibiotics to act as filters on illegitimate messages that could be delivered by the bacteria. Our evaluation, which has been conducted through a series of simulations, has shown that numerous bacteria properties fit to properties required for communication networking (e.g., packet filtering, routing, addressing).
- Subjects :
- Models, Molecular
Entropy
Biomedical Engineering
Pharmaceutical Science
Medicine (miscellaneous)
Bioengineering
Nanotechnology
Cell Communication
Biology
Models, Biological
Hop (networking)
Computers, Molecular
Plasmid
Molecular motor
Computer Simulation
Electrical and Electronic Engineering
Bacteria
Chemotactic Factors
Molecular communication
business.industry
Communication
Molecular biophysics
Pili, Sex
Grid
biology.organism_classification
Anti-Bacterial Agents
Computer Science Applications
Conjugation, Genetic
Microbial Interactions
Nanomedicine
business
Plasmids
Biotechnology
Computer network
Subjects
Details
- ISSN :
- 15582639 and 15361241
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on NanoBioscience
- Accession number :
- edsair.doi.dedup.....6764cb688a867737e0c372ed65f07753
- Full Text :
- https://doi.org/10.1109/tnb.2013.2239657