Design and Evaluation of a Receiver for Wired Nano-Communication Networks

In this paper, we propose a bio-inspired receiver, which detects the electrons transmitted through a nanowire, then, it converts the detected information into a blue light using bioluminescence. Using light allows the designed receiver to also act as a relay for the nearest gateway (photo-detector). We simulate the construction of the nanowire, present its electrical characteristics and calculate its maximum throughput for a better design of the receiver. The designed receiver contains two parts, a part that detects the transmitted electrons, which we model by using an equivalent circuit, and a part that converts the detected electrons into a blue light. We derive the analytical expressions of the equivalent circuit's components, and we calculate the emitted photons for each electrical pulse detected. We also propose modulation techniques that guaranty an effective decoding of the information. We send a binary message and we follow the electron detection process of the proposed receiver until light emission and we calculate the Bit Error Rate (BER) to evaluate the performance of the designed receiver. The results of this study show that the designed receiver can accurately detect the electrons sent through a conductive nanowire in wired nano-communication networks, and that it can also act as a relay for the nearest gateway.

[1]  Ian F. Akyildiz,et al.  Interference effects on modulation techniques in diffusion based nanonetworks , 2012, Nano Commun. Networks.

[2]  Özgür B. Akan,et al.  Receiver Design for Molecular Communication , 2013, IEEE Journal on Selected Areas in Communications.

[3]  O. Shimomura,et al.  Properties of the bioluminescent protein aequorin. , 1969, Biochemistry.

[4]  G. Koch The endoplasmic reticulum and calcium storage , 1990, BioEssays : news and reviews in molecular, cellular and developmental biology.

[5]  A. Pullan,et al.  Effects of electrical stimulation on isolated rodent gastric smooth muscle cells evaluated via a joint computational simulation and experimental approach. , 2009, American journal of physiology. Gastrointestinal and liver physiology.

[6]  Soumaya Cherkaoui,et al.  Design and Evaluation of Self-Assembled Actin-Based Nano-Communication , 2019, 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC).

[7]  Ian F. Akyildiz,et al.  The Internet of nano-things , 2010, IEEE Wireless Communications.

[8]  Soumaya Cherkaoui,et al.  Enhancing Signal Strength and ISI-Avoidance of Diffusion-based Molecular Communication , 2018, 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC).

[9]  Tuna Tugcu,et al.  ISI Mitigation Techniques in Molecular Communication , 2014, IEEE Transactions on Molecular, Biological and Multi-Scale Communications.

[10]  L. Kricka,et al.  Signal Generation and Detection Systems (Excluding Homogeneous Assays) , 2013 .

[11]  A. Plant,et al.  Supported phospholipid/alkanethiol biomimetic membranes: insulating properties. , 1994, Biophysical journal.

[12]  Andrew W. Eckford,et al.  Symbol Interval Optimization for Molecular Communication With Drift , 2014, IEEE Transactions on NanoBioscience.

[13]  Robert Schober,et al.  Improving Receiver Performance of Diffusive Molecular Communication With Enzymes , 2013, IEEE Transactions on NanoBioscience.

[14]  I. Willner,et al.  Actin-based metallic nanowires as bio-nanotransporters , 2004, Nature materials.

[15]  Andrew W. Eckford,et al.  A Comprehensive Survey of Recent Advancements in Molecular Communication , 2014, IEEE Communications Surveys & Tutorials.

[16]  O. Krishtal,et al.  Conductance of the calcium channel in the membrane of snail neurones. , 1981, The Journal of physiology.

[17]  Hao Yan,et al.  Adaptive Detection and ISI Mitigation for Mobile Molecular Communication , 2018, IEEE Transactions on NanoBioscience.

[18]  Soumaya Cherkaoui,et al.  A Physical Channel Model for Wired Nano-Communication Networks , 2020, ArXiv.

[19]  Marco Di Renzo,et al.  Molecular Communications: Model-Based and Data-Driven Receiver Design and Optimization , 2019, IEEE Access.

[20]  Andrew W. Eckford,et al.  Molecular MIMO: From Theory to Prototype , 2016, IEEE Journal on Selected Areas in Communications.

[21]  Xin-Wei Yao,et al.  TAB-MAC: Assisted beamforming MAC protocol for Terahertz communication networks , 2016, Nano Commun. Networks.

[22]  Soumaya Cherkaoui,et al.  Design Optimization of a MIMO Receiver for Diffusion-based Molecular Communication , 2019, 2019 IEEE Wireless Communications and Networking Conference (WCNC).

[23]  O. Shimomura A short story of aequorin. , 1995, The Biological bulletin.

[24]  Xu Bao,et al.  Channel Modeling of Molecular Communication via Diffusion With Multiple Absorbing Receivers , 2019, IEEE Wireless Communications Letters.

[25]  S. Cherkaoui,et al.  Performance Enhancement of Diffusion-Based Molecular Communication , 2020, IEEE Transactions on NanoBioscience.

[26]  Laura Galluccio,et al.  A timing channel-based MAC protocol for energy-efficient nanonetworks , 2015, Nano Commun. Networks.

[27]  Soumaya Cherkaoui,et al.  Toward a Wired Ad Hoc Nanonetwork , 2019, ICC 2020 - 2020 IEEE International Conference on Communications (ICC).

[28]  V. Krishnamurthy,et al.  Dynamics of Engineered Artificial Membranes and Biosensors , 2018 .

[29]  Giuseppe Piro,et al.  Terahertz Communications in Human Tissues at the Nanoscale for Healthcare Applications , 2015, IEEE Transactions on Nanotechnology.

[30]  M. Brini,et al.  Intracellular calcium homeostasis and signaling. , 2013, Metal ions in life sciences.

[31]  Massimiliano Pierobon,et al.  A physical end-to-end model for molecular communication in nanonetworks , 2010, IEEE Journal on Selected Areas in Communications.

[32]  C. Orchard,et al.  t-Tubules and sarcoplasmic reticulum function in cardiac ventricular myocytes. , 2007, Cardiovascular research.

[33]  H. Cantiello,et al.  Ionic wave propagation along actin filaments. , 2004, Biophysical journal.

[34]  Massimiliano Pierobon,et al.  Diffusion-based physical channel identification in molecular nanonetworks , 2011, Nano Commun. Networks.

[35]  L. Bharadwaj,et al.  Low-intensity magnetic fields assisted alignment of actin filaments. , 2010, International journal of biological macromolecules.

[36]  Abdelhakim Hafid,et al.  Active versus Passive: Receiver Model Transforms for Diffusive Molecular Communication , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).