Transmission Rate Control for Molecular Communication among Biological Nanomachines
In this paper, we discuss issues concerned with transmission rate control in molecular communication, an emerging communication paradigm for bio-nanomachines in an aqueous environment. In molecular communication, a group of bio-nanomachines acting as senders transmit molecules, the molecules propaga...
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Veröffentlicht in: | IEEE journal on selected areas in communications 2013-12, Vol.31 (12), p.835-846 |
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description | In this paper, we discuss issues concerned with transmission rate control in molecular communication, an emerging communication paradigm for bio-nanomachines in an aqueous environment. In molecular communication, a group of bio-nanomachines acting as senders transmit molecules, the molecules propagate in the environment, and another group of bio-nanomachines acting as receivers chemically react to the molecules propagating in the environment. In the model of molecular communication considered in this paper, senders may transmit molecules at a high rate to accelerate the receiver reactions or to increase the throughput. However, if the senders transmit molecules faster than the receivers react, the excess molecules remain in the environment and eventually degrade or diffuse away, which results in loss of molecules or degradation in efficiency. Such a potential issue associated with throughput and efficiency is in this paper discussed as an optimization problem. A mathematical expression for an upper-bound on the throughput and efficiency is first derived to provide an insight into the impact of model parameters. The optimal transmission rates that maximize the throughput and efficiency are then numerically calculated and presented, and throughput and efficiency are shown to be in trade-off relationships in a wide range of transmission rates. Further, two classes of feedback-based transmission rate control schemes are designed for autonomous bio-nanomachines to dynamically control their transmission rates, respectively based on negative and positive feedback from the receivers. The numerical evaluation of the two transmission rate control schemes is then shown to provide useful guidelines for application developers to satisfy their design goals. |
doi_str_mv | 10.1109/JSAC.2013.SUP2.12130016 |
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In molecular communication, a group of bio-nanomachines acting as senders transmit molecules, the molecules propagate in the environment, and another group of bio-nanomachines acting as receivers chemically react to the molecules propagating in the environment. In the model of molecular communication considered in this paper, senders may transmit molecules at a high rate to accelerate the receiver reactions or to increase the throughput. However, if the senders transmit molecules faster than the receivers react, the excess molecules remain in the environment and eventually degrade or diffuse away, which results in loss of molecules or degradation in efficiency. Such a potential issue associated with throughput and efficiency is in this paper discussed as an optimization problem. A mathematical expression for an upper-bound on the throughput and efficiency is first derived to provide an insight into the impact of model parameters. The optimal transmission rates that maximize the throughput and efficiency are then numerically calculated and presented, and throughput and efficiency are shown to be in trade-off relationships in a wide range of transmission rates. Further, two classes of feedback-based transmission rate control schemes are designed for autonomous bio-nanomachines to dynamically control their transmission rates, respectively based on negative and positive feedback from the receivers. The numerical evaluation of the two transmission rate control schemes is then shown to provide useful guidelines for application developers to satisfy their design goals.</description><identifier>ISSN: 0733-8716</identifier><identifier>EISSN: 1558-0008</identifier><identifier>DOI: 10.1109/JSAC.2013.SUP2.12130016</identifier><identifier>CODEN: ISACEM</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; biological nanomachines ; Computational efficiency ; Computing time ; Degradation ; Drug delivery ; Drugs ; Efficiency ; feedback-based control ; flow control ; Mathematical models ; Molecular communication ; Nanostructure ; Numerical models ; Optimization ; Positive feedback ; Receivers ; Throughput ; transmission rate control</subject><ispartof>IEEE journal on selected areas in communications, 2013-12, Vol.31 (12), p.835-846</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Dec 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404t-ad23d6d5855c27fac2706c164820cd1928078fcea465dee344dc6b8a89f6aca43</citedby><cites>FETCH-LOGICAL-c404t-ad23d6d5855c27fac2706c164820cd1928078fcea465dee344dc6b8a89f6aca43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6708564$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27902,27903,54735</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6708564$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Nakano, Tadashi</creatorcontrib><creatorcontrib>Okaie, Yutaka</creatorcontrib><creatorcontrib>Vasilakos, Athanasios V.</creatorcontrib><title>Transmission Rate Control for Molecular Communication among Biological Nanomachines</title><title>IEEE journal on selected areas in communications</title><addtitle>J-SAC</addtitle><description>In this paper, we discuss issues concerned with transmission rate control in molecular communication, an emerging communication paradigm for bio-nanomachines in an aqueous environment. In molecular communication, a group of bio-nanomachines acting as senders transmit molecules, the molecules propagate in the environment, and another group of bio-nanomachines acting as receivers chemically react to the molecules propagating in the environment. In the model of molecular communication considered in this paper, senders may transmit molecules at a high rate to accelerate the receiver reactions or to increase the throughput. However, if the senders transmit molecules faster than the receivers react, the excess molecules remain in the environment and eventually degrade or diffuse away, which results in loss of molecules or degradation in efficiency. Such a potential issue associated with throughput and efficiency is in this paper discussed as an optimization problem. A mathematical expression for an upper-bound on the throughput and efficiency is first derived to provide an insight into the impact of model parameters. The optimal transmission rates that maximize the throughput and efficiency are then numerically calculated and presented, and throughput and efficiency are shown to be in trade-off relationships in a wide range of transmission rates. Further, two classes of feedback-based transmission rate control schemes are designed for autonomous bio-nanomachines to dynamically control their transmission rates, respectively based on negative and positive feedback from the receivers. The numerical evaluation of the two transmission rate control schemes is then shown to provide useful guidelines for application developers to satisfy their design goals.</description><subject>Algorithms</subject><subject>biological nanomachines</subject><subject>Computational efficiency</subject><subject>Computing time</subject><subject>Degradation</subject><subject>Drug delivery</subject><subject>Drugs</subject><subject>Efficiency</subject><subject>feedback-based control</subject><subject>flow control</subject><subject>Mathematical models</subject><subject>Molecular communication</subject><subject>Nanostructure</subject><subject>Numerical models</subject><subject>Optimization</subject><subject>Positive feedback</subject><subject>Receivers</subject><subject>Throughput</subject><subject>transmission rate control</subject><issn>0733-8716</issn><issn>1558-0008</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkMtOwzAQRS0EEqXwBSyIxIZNgl-xnWWpeKo8RNu1ZRynpHJssJMFf4-jAgs2M9Lo3NHMAeAMwQIhWF0-LGfzAkNEiuX6BRcIIwIhYntggspS5BBCsQ8mkBOSC47YITiKcZsISgWegOUqKBe7NsbWu-xV9Sabe9cHb7PGh-zRW6MHq0Kadt3gWq36EVSdd5vsqvXWb9LMZk_K-U7p99aZeAwOGmWjOfnpU7C-uV7N7_LF8-39fLbINYW0z1WNSc3qUpSlxrxRqUCmEUt3QV2jCgvIRaONoqysjSGU1pq9CSWqhimtKJmCi93ej-A_BxN7mf7QxlrljB-iRIwjihmqRELP_6FbPwSXrpOIck4ErXiVKL6jdPAxBtPIj9B2KnxJBOUoW46y5ShbjrLlr-yUPN0lW2PMX4pxKEpGyTdea3xi</recordid><startdate>201312</startdate><enddate>201312</enddate><creator>Nakano, Tadashi</creator><creator>Okaie, Yutaka</creator><creator>Vasilakos, Athanasios V.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>7U5</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>201312</creationdate><title>Transmission Rate Control for Molecular Communication among Biological Nanomachines</title><author>Nakano, Tadashi ; Okaie, Yutaka ; Vasilakos, Athanasios V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404t-ad23d6d5855c27fac2706c164820cd1928078fcea465dee344dc6b8a89f6aca43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>biological nanomachines</topic><topic>Computational efficiency</topic><topic>Computing time</topic><topic>Degradation</topic><topic>Drug delivery</topic><topic>Drugs</topic><topic>Efficiency</topic><topic>feedback-based control</topic><topic>flow control</topic><topic>Mathematical models</topic><topic>Molecular communication</topic><topic>Nanostructure</topic><topic>Numerical models</topic><topic>Optimization</topic><topic>Positive feedback</topic><topic>Receivers</topic><topic>Throughput</topic><topic>transmission rate control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nakano, Tadashi</creatorcontrib><creatorcontrib>Okaie, Yutaka</creatorcontrib><creatorcontrib>Vasilakos, Athanasios V.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE journal on selected areas in communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Nakano, Tadashi</au><au>Okaie, Yutaka</au><au>Vasilakos, Athanasios V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transmission Rate Control for Molecular Communication among Biological Nanomachines</atitle><jtitle>IEEE journal on selected areas in communications</jtitle><stitle>J-SAC</stitle><date>2013-12</date><risdate>2013</risdate><volume>31</volume><issue>12</issue><spage>835</spage><epage>846</epage><pages>835-846</pages><issn>0733-8716</issn><eissn>1558-0008</eissn><coden>ISACEM</coden><abstract>In this paper, we discuss issues concerned with transmission rate control in molecular communication, an emerging communication paradigm for bio-nanomachines in an aqueous environment. In molecular communication, a group of bio-nanomachines acting as senders transmit molecules, the molecules propagate in the environment, and another group of bio-nanomachines acting as receivers chemically react to the molecules propagating in the environment. In the model of molecular communication considered in this paper, senders may transmit molecules at a high rate to accelerate the receiver reactions or to increase the throughput. However, if the senders transmit molecules faster than the receivers react, the excess molecules remain in the environment and eventually degrade or diffuse away, which results in loss of molecules or degradation in efficiency. Such a potential issue associated with throughput and efficiency is in this paper discussed as an optimization problem. A mathematical expression for an upper-bound on the throughput and efficiency is first derived to provide an insight into the impact of model parameters. The optimal transmission rates that maximize the throughput and efficiency are then numerically calculated and presented, and throughput and efficiency are shown to be in trade-off relationships in a wide range of transmission rates. Further, two classes of feedback-based transmission rate control schemes are designed for autonomous bio-nanomachines to dynamically control their transmission rates, respectively based on negative and positive feedback from the receivers. The numerical evaluation of the two transmission rate control schemes is then shown to provide useful guidelines for application developers to satisfy their design goals.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSAC.2013.SUP2.12130016</doi><tpages>12</tpages></addata></record> |
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subjects | Algorithms biological nanomachines Computational efficiency Computing time Degradation Drug delivery Drugs Efficiency feedback-based control flow control Mathematical models Molecular communication Nanostructure Numerical models Optimization Positive feedback Receivers Throughput transmission rate control |
title | Transmission Rate Control for Molecular Communication among Biological Nanomachines |
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