A Simulation Framework for Neuron-based Molecular Communication

Suzuki, Junichi; Budiman, Harry; Carr, Timothy A.; DeBlois, Jane H.

doi:10.1016/j.procs.2013.10.032

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…However, in some disorders, living organisms cannot overcome issues caused by external stimuli or by the body itself. In this research, we focus on unsolved or incompletely recognized impacts on human health connected to the faulty or insufficient functioning of cardiac, endocrine, neurological, and nanosensor small-cell networks [43]. Healthcare has primarily focused on mobilizing therapeutically essential organ processes in the body.…”

Section: Future Research Avenuesmentioning

confidence: 99%

Intra-body Networks and Molecular Communication Networks in Diagnostic Sciences

Sarda¹,

Acharya²,

Huse³

et al. 2022

Cureus

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Intra-body transmission networks are proposed to be composed of nanostructured or micro-sized detectors placed within the body to monitor health and distribute drugs. Transplanted biosensors are the potential options for monitoring the body for the detection of particular ailments and determining a diagnosis with the help of a doctor. Biological systems inside the body remain intricately integrated and interact primarily through biochemical interactions. Thus, the continuous communication performance and intrabody molecular nanonetworks coordinate essential functions within the human body. Spontaneous intrabody molecular nanonetworks, on the other hand, have yet to be investigated using sophisticated tools of information and communication concepts. We intend to understand the exquisite molecular networking that exists within us to design and develop pragmatic, effective interaction for evolving nanonetworks and also to lay the groundwork for the progression of groundbreaking diagnosis and therapeutic methodologies inspired by technological tools, which have the potential to be helpful in future nanotechnologies and bioinspired molecular communication (MC) applications.

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Section: Future Research Avenuesmentioning

confidence: 99%

Intra-body Networks and Molecular Communication Networks in Diagnostic Sciences

Sarda¹,

Acharya²,

Huse³

et al. 2022

Cureus

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“…These authors developed a mechanism to study the effect of CNTs on the efficacy of neural signal transmission in cultured neural networks and discovered that the back‐propagation of the AP can be improved by interaction with the CNTs. Moreover, some authors [30, 31] have proposed an artificial neuronal network based on MC system wherein they designed transmission‐scheduling protocols and an interface between the bio‐nanomachine and the neurons to facilitate signalling initiation and reduce the possibility of interference.…”

Section: Related Work and Contributionsmentioning

confidence: 99%

Engineering molecular communications integrated with carbon nanotubes in neural sensor nanonetworks

El-atty¹,

Lizos

Gharsseldien³

et al. 2018

IET nanobiotechnol.

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There have been recent advances in the engineering of molecular communication (MC)-based networks for nanomedical applications. However, the integration of MC with biomaterials such as carbon nanotubes (CNTs) presents various critical research challenges. In this study, the authors envisaged integrating MC-based nanonetwork with CNTs to optimise nanonetwork performance. In neural networks, a chronic reduction in the concentration of the neurotransmitter acetylcholine (ACh) eventually leads to the development of neurodegenerative diseases; therefore, they used CNTs as a molecular switch to optimise ACh conductivity supported by artificial MC. Furthermore, MC enables communication between transmitter neurons and receiver neurons for fine-tuning the ACh release rate according to the feedback concentration of ACh. Subsequently, they proposed a min/max feedback scheme to fine-tune the expected throughput and ACh transmission efficiency. For demonstration purposes, they deduced analytical forms for the proposed schemes in terms of throughput, incurred traffic rates, and average packet delay.

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“…In [22], the physical channel of diffusion-based molecular communication is explored using the simulation framework N3Sim. A simulation framework for neuron-based molecular communication, which utilizes electrochemical signals though neuronal networks, is proposed in [23]. This paper uses the NanoNS tool to run some simulations which will be shown in the next sections.…”

Section: Related Workmentioning

confidence: 99%

Assessing a nanothings system to monitor endocrine diseases automatously

Ferreira

Reis

Lopes

2014

2014 9th Iberian Conference on Information Systems and Technologies (CISTI)

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Nano-communications have tremendous potential for applications in the biomedical, environmental, industrial and military fields. Molecular communication is a new communication paradigm which allows nanomachines to exchange information using molecules as carrier. This is the most promising communication method within nanonetworks, since using electromagnetic waves is not very likely due to the size of the nanomachines. In molecular communication, information is encoded onto molecules at senders and the molecules propagate to receivers in a controlled manner. This control is one of the most important challenges, and this paper will describe some solutions for molecular communication. Since molecular communication offers means to transport information-encoded molecules to receivers and allows biological and artificially-created components to communicate with each other, future applications for health care are discussed in this paper. Results are obtained from computerized simulation scenarios selecting appropriate parameters for optimal performance.

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A Simulation Framework for Neuron-based Molecular Communication

Cited by 4 publications

References 20 publications

Intra-body Networks and Molecular Communication Networks in Diagnostic Sciences

Intra-body Networks and Molecular Communication Networks in Diagnostic Sciences

Engineering molecular communications integrated with carbon nanotubes in neural sensor nanonetworks

Assessing a nanothings system to monitor endocrine diseases automatously

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