Yuanhang Zhang;Fupeng Huang;Jie Song;Lin Lin;Yuting Yang;Xiao Zhi;Hao Yan
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引用次数: 0
Abstract
Synthetic molecular communications (SMC), as one of the most promising communication paradigms for nano-networks, is expected to advance many revolutionary areas. Many of the envisioned applications of SMC are in micro-scale. However, the state-of-the-art SMC testbeds reported in the literature are mostly in macro-scale. The lack of micro-scale communication testbeds is its key technology hindrance. To solve this issue, we propose a micro-scale SMC receiver. The proposed micro-scale SMC receiver senses the concentration of information DNA molecules and converts such biological signal into an electric binary signal by electrochemical reaction. To examine the effectiveness of the proposed receiver, experiments are performed and verify that the proposed receiver is capable to successfully receive signals with a bit rate of 0.2 bit/min. This work would help SMC to advance from theoretical research towards practical applications.
期刊介绍:
As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems. This success opens up a new frontier for interdisciplinary communications techniques using chemistry, biology, and other principles that have not been considered in the communications literature. The IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (T-MBMSC) is devoted to the principles, design, and analysis of communication systems that use physics beyond classical electromagnetism. This includes molecular, quantum, and other physical, chemical and biological techniques; as well as new communication techniques at small scales or across multiple scales (e.g., nano to micro to macro; note that strictly nanoscale systems, 1-100 nm, are outside the scope of this journal). Original research articles on one or more of the following topics are within scope: mathematical modeling, information/communication and network theoretic analysis, standardization and industrial applications, and analytical or experimental studies on communication processes or networks in biology. Contributions on related topics may also be considered for publication. Contributions from researchers outside the IEEE’s typical audience are encouraged.