Title :
Nanoscale Communication With Molecular Arrays in Nanonetworks
Author :
Atakan, Baris ; Galmés, Sebastià ; Akan, Ozgur B.
Author_Institution :
Dept. of Electr. & Electron. Eng., Koc Univ., İstanbul, Turkey
fDate :
6/1/2012 12:00:00 AM
Abstract :
Molecular communication is a promising nanoscale communication paradigm that enables nanomachines to exchange information by using molecules as communication carrier. Up to now, the molecular communication channel between a transmitter nanomachine (TN) and a receiver nanomachine (RN) has been modeled as either concentration channel or timing channel. However, these channel models necessitate exact time synchronization of the nanomachines and provide a relatively low communication bandwidth. In this paper, the Molecular ARray-based COmmunication (MARCO) scheme is proposed, in which the transmission order of different molecules is used to convey molecular information without any need for time synchronization. The MARCO channel model is first theoretically derived, and the intersymbol interference and error probabilities are obtained. Based on the error probability, achievable communication rates are analytically obtained. Numerical results and performance comparisons reveal that MARCO provides significantly higher communication rate, i.e., on the scale of 100 Kbps, than the previously proposed molecular communication models without any need for synchronization. More specifically, MARCO can provide more than 250 Kbps of molecular communication rate if intersymbol time and internode distance are set to 2 μs and 2 nm, respectively.
Keywords :
Brownian motion; information theory; intersymbol interference; nanobiotechnology; probability; MARCO channel model; Molecular ARray-based COmmunication scheme; communication carrier; concentration channel; error probability; molecular arrays; molecular communication channel; molecular communication rate; molecular information; nanonetworks; nanoscale communication; nanoscale communication paradigm; performance comparisons; receiver nanomachine; transmitter nanomachine; Channel models; Error probability; Microorganisms; Molecular communication; Nanobioscience; Synchronization; Brownian motion; molecular arrays; molecular communication; nanonetworks; Computer Simulation; Information Science; Models, Molecular; Nanostructures; Nanotechnology; Neurotransmitter Agents;
Journal_Title :
NanoBioscience, IEEE Transactions on
DOI :
10.1109/TNB.2011.2181862