JOURNAL ARTICLE

Multi-Step FRET-Based Long-Range Nanoscale Communication Channel

Murat KuşcuÖzgür B. Akan

Year: 2013 Journal:   IEEE Journal on Selected Areas in Communications Vol: 31 (12)Pages: 715-725   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Nanoscale communication based on Forster Resonance Energy Transfer (FRET) is a promising paradigm that allows future molecular-size machines to communicate with each other over distances up to 10 nm using the excited state energies of fluorescent molecules. In this study, we propose a novel nanoscale communication method based on multi-step FRET using identical fluorophores as relay nodes between communicating nanomachines, and utilizing multi-exciton transmission scheme in order to improve the limited range of the communication and achievable transmission rate over the nanoscale channel. We investigate two communication scenarios: immobile nanomachines communicating through a channel in a host material with linearly located relay nodes, and mobile nanomachines communicating through a channel in a 3-dimensional aqueous environment with randomly deployed relay nodes. We simulate the communication over these channels with realistic algorithms considering the high degree of randomness intrinsic to FRET phenomenon. Using the simulation results and following a Monte Carlo approach, we evaluate the performance of the channels by means of information theoretical capacity and interference probability. We show that multi-step FRET-based communication significantly outperforms the other biologically inspired nanocommunication techniques proposed so far in terms of maximum achievable data transmission rates. The results underline the compatibility and practicality of the FRET-based communication for several applications ranging from molecular computers to nanosensor networks.

Keywords:
Molecular communication Förster resonance energy transfer Computer science Relay Channel (broadcasting) Transmission (telecommunications) Randomness Electronic engineering Telecommunications Physics Fluorescence Engineering

Metrics

31
Cited By
2.15
FWCI (Field Weighted Citation Impact)
24
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Molecular Communication and Nanonetworks
Physical Sciences →  Engineering →  Biomedical Engineering
Advanced biosensing and bioanalysis techniques
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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