Performance Analysis of Channel Capacity for Flow based-Diffusive Molecular Communication System | ||
| Menoufia Journal of Electronic Engineering Research | ||
| Article 3, Volume 28, ICEEM2019-Special Issue, 2019, Pages 14-18 | ||
| Document Type: Original Article | ||
| DOI: 10.21608/mjeer.2019.64451 | ||
| Authors | ||
| Nancy Arafa* 1; Saied M. Abd El-atty2; Atef Abou Elazm2 | ||
| 1Dept. of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt | ||
| 2Dept. of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering, Menoufia University Menouf, Egypt | ||
| Abstract | ||
| The main application of molecular communication (MC) technology is the medical field wherein the communication medium is the blood vessel. This medium is flow-based diffusion MC and the channel capacity plays an important role. Unlike previous literature, we present the performance analysis of the channel capacity for flow based-diffusive molecular communication system. The molecular diffusion process in the flow-based medium is represented by advection diffusion equation wherein the velocity of flow is considered while the receiver is based on the ligand-receptor mechanism. The performance evaluation of proposed channel capacity is evaluated in terms flow medium velocity, receiver's sensing area and physical size. The numerical results reveal that the proposed approach is useful in the application of drug delivery system (DSS). | ||
| Keywords | ||
| Molecular Communication; Nanomachine; Diffusion; Channel Capacity | ||
| References | ||
|
[1] T. Nakano, M. J. Moore, F. Wei, A. V. Vasilakos, and J. Shuai, “Molecular communication and networking: Opportunities and challenges,” IEEE Trans. NanoBiosci., vol. 11, no. 2, pp. 135–148, Jun. 2012.
[2] N. R. Kim, A. W. Eckford, and C. B. Chae, “Symbol interval optimization for molecular communication with drift,” IEEE Trans. NanoBiosci., vol. 13, no. 3, pp. 223–229, Sep. 2014.
[3] M. Gregori and I. F. Akyildiz, “A new nanonetwork architecture using flagellated bacteria and catalytic nanomotors,” IEEE J. Sel. Areas Commun., vol. 28, no. 4, pp. 612–619, May 2010.
[4] L. S. Meng, P. C. Yeh, K. C. Chen, and I. F. Akyildiz,“On Receiver
Design for Diffusion-Based Molecular Communication,” IEEE Trans. Sig. Process., vol. 62, no. 22, pp. 6032–6044, Nov. 2014.
[5] H. Yilmaz, A. Heren, T. Tugcu, and C.-B. Chae, “Three-dimensional channel characteristics for molecular communications with an absorbing receiver,” IEEE Commun. Lett., vol. 18, no. 6, pp. 929–932, Jun. 2014.
[6] M. Pierobon and I. Akyildiz, “Noise analysis in ligand-binding reception for molecular communication in nanonetworks,” IEEE Trans. Signal Process., vol. 59, no. 9, pp. 4168–4182, Sep. 2011.
[7] M. Pierobon, I. F. Akyildiz, “Information Capacity of Diffusion-based Molecular Communication in Nanonetworks,” in Proc. IEEE Int. Conf. Computer. Communication. (INFOCOM) 2011, pp. 506 – 510.
[8] Y. Chahibi and I. F. Akyildiz, “Molecular communication noise and capacity analysis for particulate drug delivery systems,” IEEE Trans. Commun., vol. 62, no. 11, pp. 3891–3903, Nov. 2014.
[9] M. Pierobon and I. F. Akyildiz, “Capacity of a diffusion-based molecular communication system with channel memory and molecular noise,” IEEE Trans. Inf. Theory, vol. 59, no. 2, pp. 942–954, Feb. 2013.
[10] Atakan B, Akan OB. “Deterministic capacity of information flow in molecular nanonetworks”. Nano Communication Networks 2010
[11] Nariman Farsad and et al, "A comprehensive survey of recent advancements in molecular communication." IEEE Comm Survey & Tutorials, vol. 18, no. 3, pp. 1887– 1919, Third quarter 2016.
[12] Q. Liu and K.Yang, "Channel capacity analysis of diffusion based molecular communiction system with ligand receptors," Int.J. commun. Syst, vol 8, pp.1508–1520, 2015.
[13] B. Atakan and O. B. Akan, “Single and multiple-access channel capacityin molecular nanonetworks,” Nano-Net, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 20, pp. 14–23, October 2009.
[14] H. Shah Mohammadian, G. Messier, and S. Magierowski, “Modelling the reception process in diffusion based molecular communication channels,” in Proc. IEEE ICC, Jun. 2013, pp. 782–786.
[15] C. E. Shannon, “A mathematical theory of communication,” The Bell System Technical Journal, vol. 27, July, October 1948.
[16] N. Varshney and et al "On Flow-Induced Diffusive Mobile Molecular Communication: First Hitting Time and Performance Analysis," arxiv.org/pdf/1806.04784
[17] Nakano, Y. Okaie and J. Liu, “Channel Model and Capacity Analysis of Molecular Communication with Brownian Motion,” IEEEcommunications letters, vol. 16, no. 6, June 2012, pp.797-800
| ||
|
Statistics Article View: 261 |
||
