Chain Modeling of Molecular Communications for Body Area Network

Molecular communications provide an attractive opportunity to precisely regulate biological signaling in nano-medicine applications of body area networks. In this paper, we utilize molecular communication tools to interpret how neural signals are generated in response to external stimuli. First, we...
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Gespeichert in:

Autor*in:	Peng He [verfasserIn] Xiaojuan Han [verfasserIn] Hanyong Liu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	molecular communication hormonal signaling Ca2+ signaling neural signaling chain modeling body area network

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 19(2019), 2, p 395
Übergeordnetes Werk:	volume:19 ; year:2019 ; number:2, p 395

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s19020395

Katalog-ID:	DOAJ085395404

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spelling	10.3390/s19020395 doi (DE-627)DOAJ085395404 (DE-599)DOAJ677dd62b85074bde8f49395f40bae2bb DE-627 ger DE-627 rakwb eng TP1-1185 Peng He verfasserin aut Chain Modeling of Molecular Communications for Body Area Network 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Molecular communications provide an attractive opportunity to precisely regulate biological signaling in nano-medicine applications of body area networks. In this paper, we utilize molecular communication tools to interpret how neural signals are generated in response to external stimuli. First, we propose a chain model of molecular communication system by considering three types of biological signaling through different communication media. Second, communication models of hormonal signaling, Ca 2 + signaling and neural signaling are developed based on existing knowledge. Third, an amplify-and-forward relaying mechanism is proposed to connect different types of signaling. Simulation results demonstrate that the proposed communication system facilitates the information exchange between the neural system and nano-machines, and suggests that proper adjustment can optimize the communication system performance. molecular communication hormonal signaling Ca2+ signaling neural signaling chain modeling body area network Chemical technology Xiaojuan Han verfasserin aut Hanyong Liu verfasserin aut In Sensors MDPI AG, 2003 19(2019), 2, p 395 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:19 year:2019 number:2, p 395 https://doi.org/10.3390/s19020395 kostenfrei https://doaj.org/article/677dd62b85074bde8f49395f40bae2bb kostenfrei http://www.mdpi.com/1424-8220/19/2/395 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 19 2019 2, p 395
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allfieldsGer	10.3390/s19020395 doi (DE-627)DOAJ085395404 (DE-599)DOAJ677dd62b85074bde8f49395f40bae2bb DE-627 ger DE-627 rakwb eng TP1-1185 Peng He verfasserin aut Chain Modeling of Molecular Communications for Body Area Network 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Molecular communications provide an attractive opportunity to precisely regulate biological signaling in nano-medicine applications of body area networks. In this paper, we utilize molecular communication tools to interpret how neural signals are generated in response to external stimuli. First, we propose a chain model of molecular communication system by considering three types of biological signaling through different communication media. Second, communication models of hormonal signaling, Ca 2 + signaling and neural signaling are developed based on existing knowledge. Third, an amplify-and-forward relaying mechanism is proposed to connect different types of signaling. Simulation results demonstrate that the proposed communication system facilitates the information exchange between the neural system and nano-machines, and suggests that proper adjustment can optimize the communication system performance. molecular communication hormonal signaling Ca2+ signaling neural signaling chain modeling body area network Chemical technology Xiaojuan Han verfasserin aut Hanyong Liu verfasserin aut In Sensors MDPI AG, 2003 19(2019), 2, p 395 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:19 year:2019 number:2, p 395 https://doi.org/10.3390/s19020395 kostenfrei https://doaj.org/article/677dd62b85074bde8f49395f40bae2bb kostenfrei http://www.mdpi.com/1424-8220/19/2/395 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 19 2019 2, p 395
allfieldsSound	10.3390/s19020395 doi (DE-627)DOAJ085395404 (DE-599)DOAJ677dd62b85074bde8f49395f40bae2bb DE-627 ger DE-627 rakwb eng TP1-1185 Peng He verfasserin aut Chain Modeling of Molecular Communications for Body Area Network 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Molecular communications provide an attractive opportunity to precisely regulate biological signaling in nano-medicine applications of body area networks. In this paper, we utilize molecular communication tools to interpret how neural signals are generated in response to external stimuli. First, we propose a chain model of molecular communication system by considering three types of biological signaling through different communication media. Second, communication models of hormonal signaling, Ca 2 + signaling and neural signaling are developed based on existing knowledge. Third, an amplify-and-forward relaying mechanism is proposed to connect different types of signaling. Simulation results demonstrate that the proposed communication system facilitates the information exchange between the neural system and nano-machines, and suggests that proper adjustment can optimize the communication system performance. molecular communication hormonal signaling Ca2+ signaling neural signaling chain modeling body area network Chemical technology Xiaojuan Han verfasserin aut Hanyong Liu verfasserin aut In Sensors MDPI AG, 2003 19(2019), 2, p 395 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:19 year:2019 number:2, p 395 https://doi.org/10.3390/s19020395 kostenfrei https://doaj.org/article/677dd62b85074bde8f49395f40bae2bb kostenfrei http://www.mdpi.com/1424-8220/19/2/395 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 19 2019 2, p 395
language	English
source	In Sensors 19(2019), 2, p 395 volume:19 year:2019 number:2, p 395
sourceStr	In Sensors 19(2019), 2, p 395 volume:19 year:2019 number:2, p 395
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	molecular communication hormonal signaling Ca2+ signaling neural signaling chain modeling body area network Chemical technology
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container_title	Sensors
authorswithroles_txt_mv	Peng He @@aut@@ Xiaojuan Han @@aut@@ Hanyong Liu @@aut@@
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callnumber-first	T - Technology
author	Peng He
spellingShingle	Peng He misc TP1-1185 misc molecular communication misc hormonal signaling misc Ca2+ signaling misc neural signaling misc chain modeling misc body area network misc Chemical technology Chain Modeling of Molecular Communications for Body Area Network
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topic_title	TP1-1185 Chain Modeling of Molecular Communications for Body Area Network molecular communication hormonal signaling Ca2+ signaling neural signaling chain modeling body area network
topic	misc TP1-1185 misc molecular communication misc hormonal signaling misc Ca2+ signaling misc neural signaling misc chain modeling misc body area network misc Chemical technology
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title	Chain Modeling of Molecular Communications for Body Area Network
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title_auth	Chain Modeling of Molecular Communications for Body Area Network
abstract	Molecular communications provide an attractive opportunity to precisely regulate biological signaling in nano-medicine applications of body area networks. In this paper, we utilize molecular communication tools to interpret how neural signals are generated in response to external stimuli. First, we propose a chain model of molecular communication system by considering three types of biological signaling through different communication media. Second, communication models of hormonal signaling, Ca 2 + signaling and neural signaling are developed based on existing knowledge. Third, an amplify-and-forward relaying mechanism is proposed to connect different types of signaling. Simulation results demonstrate that the proposed communication system facilitates the information exchange between the neural system and nano-machines, and suggests that proper adjustment can optimize the communication system performance.
abstractGer	Molecular communications provide an attractive opportunity to precisely regulate biological signaling in nano-medicine applications of body area networks. In this paper, we utilize molecular communication tools to interpret how neural signals are generated in response to external stimuli. First, we propose a chain model of molecular communication system by considering three types of biological signaling through different communication media. Second, communication models of hormonal signaling, Ca 2 + signaling and neural signaling are developed based on existing knowledge. Third, an amplify-and-forward relaying mechanism is proposed to connect different types of signaling. Simulation results demonstrate that the proposed communication system facilitates the information exchange between the neural system and nano-machines, and suggests that proper adjustment can optimize the communication system performance.
abstract_unstemmed	Molecular communications provide an attractive opportunity to precisely regulate biological signaling in nano-medicine applications of body area networks. In this paper, we utilize molecular communication tools to interpret how neural signals are generated in response to external stimuli. First, we propose a chain model of molecular communication system by considering three types of biological signaling through different communication media. Second, communication models of hormonal signaling, Ca 2 + signaling and neural signaling are developed based on existing knowledge. Third, an amplify-and-forward relaying mechanism is proposed to connect different types of signaling. Simulation results demonstrate that the proposed communication system facilitates the information exchange between the neural system and nano-machines, and suggests that proper adjustment can optimize the communication system performance.
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title_short	Chain Modeling of Molecular Communications for Body Area Network
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