A Photolysis-Assist Molecular Communication for Tumor Biosensing
Molecular communication (MC) is a promising bioinspired paradigm for exchanging molecule information among nanomachines. In this paper, we propose a synchronization-assist photolysis MC system that aims to transmit the biosensing signal of the tumor microenvironment, facilitated by mitigating redund...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/7/2495 |
| _version_ | 1827622480417652736 |
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| author | Yue Sun Huafeng Bian Yifan Chen |
| author_facet | Yue Sun Huafeng Bian Yifan Chen |
| author_sort | Yue Sun |
| collection | DOAJ |
| description | Molecular communication (MC) is a promising bioinspired paradigm for exchanging molecule information among nanomachines. In this paper, we propose a synchronization-assist photolysis MC system that aims to transmit the biosensing signal of the tumor microenvironment, facilitated by mitigating redundant molecules for improved bit error rate (BER) performance. Benefits from biocompatible MC, biosensors could transmit biosensing signals of the tumor in vivo instead of converting them to electrical signals. Due to diffusion motion’s slow and stochastic nature, intersymbol interference (ISI), resulting from previous symbols’ residual information molecules, inevitably occurs in diffusion-based MC. ISI is one of the challenges in diffusion-based MC, which significantly impacts signal detection. Inspired by on–off keying (OOK) modulation, the proposed modulation implements a switch of molecules and light alternatively. The light emitted is triggered by a synchronization signal, and the photolysis reactions could reduce the redundant molecules. An expression for the relevant channel impulse response (CIR) is derived from a hybrid channel model of diffusion and photolysis reaction. In this paper, we implement the maximum posterior estimation scheme to find the optimal decision threshold and analysis the BER performance in terms of different time intervals of the system. Numerical simulations demonstrate that the proposed method can improve the channel capacity and BER performance. We believe that our work may pave the way for MC application in biosensing. |
| first_indexed | 2024-03-09T11:27:17Z |
| format | Article |
| id | doaj.art-2b7ffec1dc92427db7f4c956bc78f80b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T11:27:17Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2b7ffec1dc92427db7f4c956bc78f80b2023-11-30T23:59:41ZengMDPI AGSensors1424-82202022-03-01227249510.3390/s22072495A Photolysis-Assist Molecular Communication for Tumor BiosensingYue Sun0Huafeng Bian1Yifan Chen2School of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu 610000, ChinaSchool of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu 610000, ChinaSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610000, ChinaMolecular communication (MC) is a promising bioinspired paradigm for exchanging molecule information among nanomachines. In this paper, we propose a synchronization-assist photolysis MC system that aims to transmit the biosensing signal of the tumor microenvironment, facilitated by mitigating redundant molecules for improved bit error rate (BER) performance. Benefits from biocompatible MC, biosensors could transmit biosensing signals of the tumor in vivo instead of converting them to electrical signals. Due to diffusion motion’s slow and stochastic nature, intersymbol interference (ISI), resulting from previous symbols’ residual information molecules, inevitably occurs in diffusion-based MC. ISI is one of the challenges in diffusion-based MC, which significantly impacts signal detection. Inspired by on–off keying (OOK) modulation, the proposed modulation implements a switch of molecules and light alternatively. The light emitted is triggered by a synchronization signal, and the photolysis reactions could reduce the redundant molecules. An expression for the relevant channel impulse response (CIR) is derived from a hybrid channel model of diffusion and photolysis reaction. In this paper, we implement the maximum posterior estimation scheme to find the optimal decision threshold and analysis the BER performance in terms of different time intervals of the system. Numerical simulations demonstrate that the proposed method can improve the channel capacity and BER performance. We believe that our work may pave the way for MC application in biosensing.https://www.mdpi.com/1424-8220/22/7/2495biosensingintersymbol interferencemolecular communicationsynchronization |
| spellingShingle | Yue Sun Huafeng Bian Yifan Chen A Photolysis-Assist Molecular Communication for Tumor Biosensing Sensors biosensing intersymbol interference molecular communication synchronization |
| title | A Photolysis-Assist Molecular Communication for Tumor Biosensing |
| title_full | A Photolysis-Assist Molecular Communication for Tumor Biosensing |
| title_fullStr | A Photolysis-Assist Molecular Communication for Tumor Biosensing |
| title_full_unstemmed | A Photolysis-Assist Molecular Communication for Tumor Biosensing |
| title_short | A Photolysis-Assist Molecular Communication for Tumor Biosensing |
| title_sort | photolysis assist molecular communication for tumor biosensing |
| topic | biosensing intersymbol interference molecular communication synchronization |
| url | https://www.mdpi.com/1424-8220/22/7/2495 |
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