A Service-Oriented Architecture for Body Area NanoNetworks with Neuron-based Molecular Communication
Molecular communication provides communication and networking capabilities for nanomachines such as biosensors and bio-actuators to form and enable Body Area NanoNetworks (BANNs). This paper considers neuron-based molecular communication, which utilizes natural neurons as a primary component to buil...
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| Vydáno v: | Mobile networks and applications Ročník 19; číslo 6; s. 707 - 717 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article Konferenční příspěvek |
| Jazyk: | angličtina |
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New York
Springer US
01.12.2014
Springer Springer Nature B.V |
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| ISSN: | 1383-469X, 1572-8153 |
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| Abstract | Molecular communication provides communication and networking capabilities for nanomachines such as biosensors and bio-actuators to form and enable Body Area NanoNetworks (BANNs). This paper considers neuron-based molecular communication, which utilizes natural neurons as a primary component to build BANNs, and proposes an end-to-end software architecture to manage and control neuron-based BANNs through a series of software services. Those services aid to realize end user applications in healthcare, such as biomedical and rehabilitation applications. In the proposed architecture, a neuron-based BANN consists of a set of nanomachines and a network of neurons that are artificially formed into a particular topology. This paper investigates two mechanisms in the proposed architecture: (1) an artificial assembly method to form neurons into specific three-dimensional topology patterns and (2) a communication protocol for neuronal signaling based on Time Division Multiple Access (TDMA), called Neuronal TDMA. The assembly method uses silica beads as growth surface and bead-bead contacts as geometrical constraints on neuronal connectivity. A web lab experiment verifies this method with neuronal hippocampal cells. Neuronal TDMA leverages an evolutionary multiobjective optimization algorithm (EMOA) to optimize the signaling schedules for nanomachines. Simulation results demonstrate that the Neuronal TDMA efficiently obtains quality solutions. |
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| AbstractList | Issue Title: Advances in Mobile Networking: Wearable Systems and Novel Management Solutions Molecular communication provides communication and networking capabilities for nanomachines such as biosensors and bio-actuators to form and enable Body Area NanoNetworks (BANNs). This paper considers neuron-based molecular communication, which utilizes natural neurons as a primary component to build BANNs, and proposes an end-to-end software architecture to manage and control neuron-based BANNs through a series of software services. Those services aid to realize end user applications in healthcare, such as biomedical and rehabilitation applications. In the proposed architecture, a neuron-based BANN consists of a set of nanomachines and a network of neurons that are artificially formed into a particular topology. This paper investigates two mechanisms in the proposed architecture: (1) an artificial assembly method to form neurons into specific three-dimensional topology patterns and (2) a communication protocol for neuronal signaling based on Time Division Multiple Access (TDMA), called Neuronal TDMA. The assembly method uses silica beads as growth surface and bead-bead contacts as geometrical constraints on neuronal connectivity. A web lab experiment verifies this method with neuronal hippocampal cells. Neuronal TDMA leverages an evolutionary multiobjective optimization algorithm (EMOA) to optimize the signaling schedules for nanomachines. Simulation results demonstrate that the Neuronal TDMA efficiently obtains quality solutions.[PUBLICATION ABSTRACT] Molecular communication provides communication and networking capabilities for nanomachines such as biosensors and bio-actuators to form and enable Body Area NanoNetworks (BANNs). This paper considers neuron-based molecular communication, which utilizes natural neurons as a primary component to build BANNs, and proposes an end-to-end software architecture to manage and control neuron-based BANNs through a series of software services. Those services aid to realize end user applications in healthcare, such as biomedical and rehabilitation applications. In the proposed architecture, a neuron-based BANN consists of a set of nanomachines and a network of neurons that are artificially formed into a particular topology. This paper investigates two mechanisms in the proposed architecture: (1) an artificial assembly method to form neurons into specific three-dimensional topology patterns and (2) a communication protocol for neuronal signaling based on Time Division Multiple Access (TDMA), called Neuronal TDMA. The assembly method uses silica beads as growth surface and bead-bead contacts as geometrical constraints on neuronal connectivity. A web lab experiment verifies this method with neuronal hippocampal cells. Neuronal TDMA leverages an evolutionary multiobjective optimization algorithm (EMOA) to optimize the signaling schedules for nanomachines. Simulation results demonstrate that the Neuronal TDMA efficiently obtains quality solutions. |
| Author | Balasubramaniam, Sasitharan Perez Meza, Victor Didier Koucheryavy, Yevgeni Suzuki, Junichi Pautot, Sophie |
| Author_xml | – sequence: 1 givenname: Junichi surname: Suzuki fullname: Suzuki, Junichi email: jxs@cs.umb.edu organization: Department of Computer Science, University of Massachusetts Boston – sequence: 2 givenname: Sasitharan surname: Balasubramaniam fullname: Balasubramaniam, Sasitharan organization: Department of Electronics and Communication Engineering, Tampere University of Technology – sequence: 3 givenname: Sophie surname: Pautot fullname: Pautot, Sophie organization: Center for Regenerative Therapies Dresden – sequence: 4 givenname: Victor Didier surname: Perez Meza fullname: Perez Meza, Victor Didier organization: Center for Regenerative Therapies Dresden – sequence: 5 givenname: Yevgeni surname: Koucheryavy fullname: Koucheryavy, Yevgeni organization: Department of Electronics and Communication Engineering, Tampere University of Technology |
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| CitedBy_id | crossref_primary_10_1109_TCOMM_2019_2962805 crossref_primary_10_1109_TCOMM_2016_2520476 crossref_primary_10_1109_JPROC_2019_2915199 crossref_primary_10_1109_TCOMM_2019_2941692 crossref_primary_10_1109_JIOT_2015_2438098 crossref_primary_10_1109_TCOMM_2016_2613970 crossref_primary_10_1109_TCOMM_2016_2526657 crossref_primary_10_1109_TMBMC_2017_2717402 crossref_primary_10_1155_2018_9026847 |
| Cites_doi | 10.1016/j.jneumeth.2006.09.009 10.1109/MCOM.2012.6122529 10.1109/TNSRE.2009.2021607 10.1016/j.nancom.2011.05.004 10.1016/j.comnet.2009.08.001 10.1109/TNB.2012.2191570 10.1109/TNSRE.2009.2033426 10.1111/j.1469-7793.1997.617ba.x 10.1147/sj.353.0609 10.1007/s00339-012-7137-6 10.1145/1389095.1389225 10.1109/ICC.2012.6364861 10.1007/3-540-45356-3_83 10.1016/j.nancom.2011.10.003 10.1109/PERCOMW.2006.4 10.1007/BFb0056872 10.1145/502348.502381 10.1109/4235.797969 10.1109/NANO.2005.1500804 |
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| Keywords | Services Neuronal signaling Intrabody Nanonetworks Molecular communication Evolutionary multiobjective optimization algorithms System architecture Chemical communication Evolutionary algorithm Multiobjective programming Silica Time division multiple access Software architecture Graph connectivity World wide web User assistance Public health Capability index Transmission protocol Neural network Topology Experimental study Body area network Internet Service oriented Nanotechnology Neurotransmission |
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| Title | A Service-Oriented Architecture for Body Area NanoNetworks with Neuron-based Molecular Communication |
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