A Time-Slotted Molecular Communication (TS-MOC): Framework and Time-Slot Errors

Synchronization is a critical issue in molecular communications (MC). Additionally, the lack of an appropriate time-slotted framework for MC systems hinders the in-depth analysis of desynchronization. Therefore, this paper addresses both issues. First, taking inspiration from oscillators found in nature, we propose a time-slotted framework suitable for MC systems where the time instances of the oscillations demarcate the time-slot boundaries. The use of biological oscillators readily satisfies biocompatibility requirements. We name such system as a time-slotted molecular communication-based (TS-MOC) system. A TS-MOC system will be beneficial to many MC applications, such as when multiple nanomachines have to transmit data simultaneously to a control/sink node or share the channel in a time-division multiplexing manner. Second, oscillation perturbations induce desynchronization — the misalignment of time-slots. Desynchronization combined with large propagation delay results in a time difference between the arrival of a signal and the beginning of a time-slot. This phenomenon is called time-slot error, and it can degrade a system’s performance. Therefore, the immediate goal is to mitigate time-slot errors. Depending on the initiation type, we propose two synchronization schemes: sender-initiated time-slot alignment and receiver-initiated time-slot alignment. An analytical model for time-slot error is also derived. Our analysis demonstrates that the proposed schemes are robust and energy-efficient — they achieve relatively low errors indicating robustness and relatively less synthesizing energy costs indicating energy efficiency. Our analysis also highlights the good agreement between the simulations and the analytical model. Finally, in conclusion, we provide brief insights into key open research challenges.

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

[2]  H. Birkan Yilmaz,et al.  Chemical Propagation Pattern for Molecular Communications , 2016, IEEE Wireless Communications Letters.

[3]  Andrea J. Goldsmith,et al.  Communication over Diffusion-Based Molecular Timing Channels , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[4]  Ian F. Akyildiz,et al.  Modulation Techniques for Communication via Diffusion in Nanonetworks , 2011, 2011 IEEE International Conference on Communications (ICC).

[5]  P. Swain,et al.  Stochastic Gene Expression in a Single Cell , 2002, Science.

[6]  Jaime Lloret Mauri,et al.  Synchronization for Diffusion-Based Molecular Communication Systems via Faster Molecules , 2018, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

[7]  Shiwei Ma,et al.  A Clock Synchronization Method for Molecular Nanomachines in Bionanosensor Networks , 2016, IEEE Sensors Journal.

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

[9]  Chan-Byoung Chae,et al.  Novel Modulation Techniques using Isomers as Messenger Molecules for Nano Communication Networks via Diffusion , 2012, IEEE Journal on Selected Areas in Communications.

[10]  Andrew W. Eckford,et al.  Stable Distributions as Noise Models for Molecular Communication , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[11]  Tuna Tugcu,et al.  Three-Dimensional Channel Characteristics for Molecular Communications With an Absorbing Receiver , 2014, IEEE Communications Letters.

[12]  Gunther Auer,et al.  Emergent Slot Synchronization in Wireless Networks , 2010, IEEE Transactions on Mobile Computing.

[13]  Tadashi Nakano,et al.  Oscillation and Synchronization of Molecular Machines by the Diffusion of Inhibitory Molecules , 2013, IEEE Transactions on Nanotechnology.

[14]  A. Swami,et al.  Synchronization in Sensor Networks: an Overview , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[15]  Tadashi Nakano,et al.  Synchronization of Inhibitory Molecular Spike Oscillators , 2011, BIONETICS.

[16]  Andrea J. Goldsmith,et al.  Time-slotted transmission over molecular timing channels , 2017, Nano Commun. Networks.

[17]  Tadashi Nakano,et al.  Channel Model and Capacity Analysis of Molecular Communication with Brownian Motion , 2012, IEEE Communications Letters.

[18]  Chan-Byoung Chae,et al.  Simulation study of molecular communication systems with an absorbing receiver: Modulation and ISI mitigation techniques , 2014, Simul. Model. Pract. Theory.

[19]  Maode Ma,et al.  Maximum-Likelihood Estimator of Clock Offset between Nanomachines in Bionanosensor Networks , 2015, Sensors.

[20]  Shiwei Ma,et al.  Diffusion-Based Clock Synchronization for Molecular Communication Under Inverse Gaussian Distribution , 2015, IEEE Sensors Journal.

[21]  Ian F. Akyildiz,et al.  Bio-Inspired Synchronization for Nanocommunication Networks , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[22]  Chia-han Lee,et al.  Training-based synchronization for quantity-based modulation in inverse Gaussian channels , 2017, 2017 IEEE International Conference on Communications (ICC).

[23]  Sebastian Magierowski,et al.  Blind Synchronization in Diffusion-Based Molecular Communication Channels , 2013, IEEE Communications Letters.

[24]  Vahid Jamali,et al.  Symbol synchronization for diffusive molecular communication systems , 2016, 2017 IEEE International Conference on Communications (ICC).

[25]  Don S. Lemons,et al.  An Introduction to Stochastic Processes in Physics , 2002 .

[26]  Ian F. Akyildiz,et al.  Nanonetworks: A new communication paradigm , 2008, Comput. Networks.

[27]  Kwang-Cheng Chen,et al.  A Molecular Phase-Locked Loop , 2014, NANOCOM' 14.

[28]  Berk Canberk,et al.  An interference-free and simultaneous molecular transmission model for multi-user nanonetworks , 2014, Nano Commun. Networks.

[29]  P. Gaspard,et al.  Biochemical Clocks and Molecular Noise: Theoretical Study of Robustness Factors , 2002 .

[30]  Hao Yan,et al.  One Symbol Blind Synchronization in SIMO Molecular Communication Systems , 2018, IEEE Wireless Communications Letters.

[31]  Vahid Jamali,et al.  Symbol Synchronization for Diffusion-Based Molecular Communications , 2017, IEEE Transactions on NanoBioscience.

[32]  Athanasios V. Vasilakos,et al.  Biological Oscillators in Nanonetworks—Opportunities and Challenges , 2018, Sensors.

[33]  Tuna Tugcu,et al.  Reception modeling of sphere-to-sphere molecular communication via diffusion , 2018, Nano Commun. Networks.

[34]  Yanjun Li,et al.  Capacity analysis for diffusive molecular communication with ISI channel , 2017, Nano Commun. Networks.

[35]  Ho-Shin Cho,et al.  Achieving in-phase synchronization in a diffusion-based nanonetwork with unknown propagation delay , 2017, NANOCOM.