TY - GEN
T1 - Influence of Sub-Processes Timescale Differences on Molecular Communication Systems Performance
AU - Chude-Okonkwo, Uche A.K.
AU - Maharaj, B. T.
AU - Malekian, Reza
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Molecular communication (MC) processes consist of sub-processes that are physical, biological or biophysical in nature. Unlike the classical electromagnetic communication systems, each constituent sub-process may operate on a different timescale. Existing bio-MC models do not take the influence of the differences in the sub-processes timescales into consideration. Hence, information provided by the multiple timescale characteristics of the bio-MC process is not readily available. In this paper, we explore the effect of variation in the timescales of some distinct sub-processes that make up the whole diffusion-based bio-MC process on system performance. To do that, we present an event-driven stochastic model for the bio-MC systems that takes the timescale variance into consideration. Using this model, we explore the impact of the sub-processes timescale variations on the performance of a typical bio-MC system. Relationships between the timescale factors and conventional electromagnetic parameters such as antenna gain are highlighted.
AB - Molecular communication (MC) processes consist of sub-processes that are physical, biological or biophysical in nature. Unlike the classical electromagnetic communication systems, each constituent sub-process may operate on a different timescale. Existing bio-MC models do not take the influence of the differences in the sub-processes timescales into consideration. Hence, information provided by the multiple timescale characteristics of the bio-MC process is not readily available. In this paper, we explore the effect of variation in the timescales of some distinct sub-processes that make up the whole diffusion-based bio-MC process on system performance. To do that, we present an event-driven stochastic model for the bio-MC systems that takes the timescale variance into consideration. Using this model, we explore the impact of the sub-processes timescale variations on the performance of a typical bio-MC system. Relationships between the timescale factors and conventional electromagnetic parameters such as antenna gain are highlighted.
KW - Multiple timescales
KW - molecular communication
KW - nanoreactor
KW - stochastic process
UR - http://www.scopus.com/inward/record.url?scp=85073232849&partnerID=8YFLogxK
U2 - 10.1109/AFRICA.2019.8843396
DO - 10.1109/AFRICA.2019.8843396
M3 - Conference contribution
AN - SCOPUS:85073232849
T3 - 2019 IEEE 2nd Wireless Africa Conference, WAC 2019 - Proceedings
BT - 2019 IEEE 2nd Wireless Africa Conference, WAC 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Wireless Africa Conference, WAC 2019
Y2 - 18 August 2019 through 20 August 2019
ER -