IEEE Transactions on Molecular Biological and Multi-Scale Communications · 2016 · 104 citations · 42 references
Natural SciencesPhysicsChemical KineticsInformation TheoryTransport PhenomenaChemical EquilibriumChemical Kinetics ModelingReversible ProcessesSurface AdsorptionSurface DiffusionSurface KineticsBit Error RateBit-error Rate AnalysisDesorptionEquilibriumMolecular AdsorptionMolecular CommunicationReversible AdsorptionReversible Reaction Kinetics
The authors develop an analytical model for diffusive molecular communication with a reversible adsorption receiver in a fluid environment. They analytically characterize the time‑varying spatial distribution of molecules under reversible adsorption/desorption, derive the expected net adsorbed molecules over time and at steady state, approximate the resulting bit‑error probability, and provide a simulation framework that incorporates diffusion and the reversible reaction. Simulation confirms the accuracy of the expressions and shows that increasing the adsorption rate lowers error probability while increasing the desorption rate raises it, with the model reducing to known full‑ and partial‑adsorption cases when desorption is absent.
In this paper, we present an analytical model for the diffusive molecular communication (MC) system with a reversible adsorption receiver in a fluid environment. The widely used concentration shift keying is considered for modulation. The time-varying spatial distribution of the information molecules under the reversible adsorption and desorption reaction at the surface of a receiver is analytically characterized. Based on the spatial distribution, we derive the net number of adsorbed information molecules expected in any time duration. We further derive the net number of adsorbed molecules expected at the steady state to demonstrate the equilibrium concentration. Given the net number of adsorbed information molecules, the bit error probability of the proposed MC system is analytically approximated. Importantly, we present a simulation framework for the proposed model that accounts for the diffusion and reversible reaction. Simulation results show the accuracy of our derived expressions, and demonstrate the positive effect of the adsorption rate and the negative effect of the desorption rate on the error probability of reversible adsorption receiver with last transmit bit-1. Moreover, our analytical results simplify to the special cases of a full adsorption receiver and a partial adsorption receiver, both of which do not include desorption.
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The internet of Bio-Nano things
Ian F. Akyildiz, Massimiliano Pierobon, Sasitharan Balasubramaniam et al. · IEEE Communications Magazine · 2015 · 697 citations