DocumentCode :
588283
Title :
Molecular communication between two populations of bacteria
Author :
Einolghozati, Arash ; Sardari, Mohsen ; Fekri, Faramarz
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2012
fDate :
3-7 Sept. 2012
Firstpage :
437
Lastpage :
441
Abstract :
Molecular communication is an expanding body of research. Recent advances in biology have encouraged using genetically engineered bacteria as the main component in the molecular communication. This has stimulated a new line of research that attempts to study molecular communication among bacteria from an information-theoretic point of view. Due to high randomness in the individual behavior of the bacterium, reliable communication between two bacteria is almost impossible. Therefore, we recently proposed that a population of bacteria in a cluster is considered as a node capable of molecular transmission and reception. This proposition enables us to form a reliable node out of many unreliable bacteria. The bacteria inside a node sense the environment and respond accordingly. In this paper, we study the communication between two nodes, one acting as the transmitter and the other as the receiver. We consider the case in which the information is encoded in the concentration of molecules by the transmitter. The molecules produced by the bacteria in the transmitter node propagate in the environment via the diffusion process. Then, their concentration sensed by the bacteria in the receiver node would decode the information. The randomness in the communication is caused by both the error in the molecular production at the transmitter and the reception of molecules at the receiver. We study the theoretical limits of the information transfer rate in such a setup versus the number of bacteria per node. Finally, we consider M-ary modulation schemes and study the achievable rates and their error probabilities.
Keywords :
biomolecular electronics; error statistics; genetic engineering; microorganisms; molecular biophysics; molecular communication (telecommunication); receivers; transmitters; M-ary modulation schemes; biology; diffusion process; error probability; genetically engineered bacteria; information theory; information transfer rate; molecular communication; molecular production; molecular reception; molecular transmission; receiver node; reliable communication; transmitter node; unreliable bacteria; Microorganisms; Molecular communication; Noise; Receivers; Sociology; Statistics; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Workshop (ITW), 2012 IEEE
Conference_Location :
Lausanne
Print_ISBN :
978-1-4673-0224-1
Electronic_ISBN :
978-1-4673-0222-7
Type :
conf
DOI :
10.1109/ITW.2012.6404710
Filename :
6404710
Link To Document :
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