On the Exact Performance Analysis of Molecular Communication via Diffusion for Internet of Bio-Nano Things

Dissanayake, Maheshi B.; Ekanayake, N.

doi:10.1109/tnb.2021.3072230

Cited by 7 publications

(6 citation statements)

References 11 publications

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“…The algorithm removes the requirement that the random state variables must have previously satisfied the Gaussian distribution and is more accurate when dealing with the state estimation of nonlinear and non-Gaussian systems. Compared to the Gaussian model, it can express a wider range of arbitrary distributions and is better able to process state variable parameters with nonlinear properties [ 8 ]. Particle filter, which has no limitations on the system model or noise types, breaks through the Kalman filter's model framework at the same time and has a filtering accuracy that is close to optimal estimation.…”

Section: Introductionmentioning

confidence: 99%

Industrial Internet of Things Model Driven by Particle Filter and Network Communication Technology

Liu

2022

Computational Intelligence and Neuroscience

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In this paper, a better particle filter algorithm is put forth to address the issues of particle filter sample exhaustion and weight degradation. The algorithm frames the received signal and separates the signals in two steps based on the slow-varying properties of system parameters in practical applications, such as phase shift and transmission delay. In addition, the network model and energy consumption model are built while the sensor data is being collected and processed using the industrial IoT’s communication mechanism and algorithm. The repeater is chosen as the node with the lowest transmission energy consumption, and the industrial field’s sensor data is gathered via the fog server node. The simulation results demonstrate that the proposed algorithm’s accuracy rate is 95.54 percent, higher than that of the comparison algorithm. The enhanced algorithm suggested in this paper can simultaneously achieve improved parameter estimation performance and achieve signal separation with low bit error rates. Additionally, the communication system and algorithm can efficiently gather the sensing information from the industrial field, and the indicators like energy consumption and the first dead node are better than other algorithms. It offers an innovative method for enhancing industrial field application.

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Section: Introductionmentioning

confidence: 99%

Industrial Internet of Things Model Driven by Particle Filter and Network Communication Technology

Liu

2022

Computational Intelligence and Neuroscience

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“…The last term describes the rate of uptake of DOX into the tumor intracellular space, described by Equation 10: − k 5w i . w 5 (t)) (10) where, the first term explains the transport from tumor EES into the tumor cells. We assume two different concurrent intracellular uptake mechanisms of DOX: (1) passive diffusion across the cell membrane, and (2) an active transport mechanism, which is most likely endocytosis.…”

Section: A the Forward Directionmentioning

confidence: 99%

“…Furthermore, nanotechnology recommends that molecular communication (MC) can be used to interconnect such bionano machines. On the other hand, the Internet of biological NanoThings (IoBNT) [4][5][6][7][8][9][10][11], which is based on bio-cyber interfaces, is a promising paradigm for connecting the MC environment with the external environment, such as the Internet.…”

Section: Introductionmentioning

confidence: 99%

A Multi Compartmental model for Targeted Drug Delivery Based on Internet of Biological NanoThings

R.Kamal

El-atty

El-Zoghdy

et al. 2023

Menoufia Journal of Electronic Engineering Research

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The authors propose a multi-compartmental model based on molecular communication (MC) technology for drug delivery to the malignant cell without affecting healthy cells in the patient's body. The medical personnel can transfer/control the required drug to the targeted cell with the help of a group of bio-nanomachines connected to the Internet of biological Nano Things (IoBNT) and a bio-cyber interface in both the forward and reverse directions. The proposed model consists of a set of multi-differential equations that are used to identify molecular communication among bio-nanomachines and quantify drug concentration to the targeted cell. Unlike conventional compartmental models, the proposed model can deliver the desired drug to the targeted cell by accounting for extracellular and intracellular tumor compartments, resulting in fewer therapeutic doses with improved efficacy. Simulations were also carried out to evaluate the performance of proposed multi-compartmental model with changing the physical parameters.

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“…The communication technologies and devices of WBAN are similar to that of IoBNT. Molecular communication is the key and most promising enabling technology for the healthcare applications of IoBNT [43]. A comprehensive review paper is presented by authors in [29].…”

Section: A Existing Literature Reviews and Surveysmentioning

confidence: 99%

“…Therefore, novel enabling technologies have been investigated that are feasible for communication inside the human body and provides an interface to access the human body. These technologies include molecular communication [43] and nano-electromagnetic communication at the THz band. Both of these technologies are discussed in detail below:…”

Section: ) Nano Network Communicationmentioning

confidence: 99%

A Systematic Review of Bio-Cyber Interface Technologies and Security Issues for Internet of Bio-Nano Things

et al. 2021

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Advances in synthetic biology and nanotechnology resulted in tools that can be used to control, reuse, modify, and re-engineer cells' structure, as well as enabling engineers to effectively use biological cells as programmable substrates to realize Bio-NanoThings (biological embedded computing devices). Bio-NanoThings are tiny, non-intrusive, and concealable devices that can be used for in-vivo applications such as intra-body sensing and actuation networks, where the use of artificial devices can be detrimental. Bio-NanoThings are nano-scale devices used in various healthcare settings such as continuous health monitoring, targeted drug delivery, and nanosurgeries. These services can also be grouped to form a collaborative network called nanonetwork, whose performance can potentially be improved when connected to higher bandwidth external networks such as the Internet. However, to realize the IoBNT paradigm, it is also important to seamlessly connect the biological environment with the technological landscape, for example by having a dynamic interface designing to convert biochemical signals from the human body into an equivalent electromagnetic signal (and vice versa). However, this also risks the exposure of internal biological mechanisms to cyber-based sensing and medical actuation, with potential security and privacy implications. In this paper, we comprehensively review bio-cyber interface for IoBNT architecture, focusing on bio-cyber interfacing options for IoBNT like biologically inspired bio-electronic devices, RFID enabled implantable chips, and electronic tattoos. We also identify known and potential security and privacy vulnerabilities and mitigation strategies for consideration in future IoBNT designs and implementations.INDEX TERMS Bio-cyber interface, Internet of Bio-Nano Things, Bio-electronic device security, Bio-inspired security approaches I. INTRODUCTIONWith recent pandemics and the associated lockdown regime, there has been renewed, if not accelerated, interest, in exploring electronic and remote delivery of healthcare services. One of the recent trends is in the Internet of Bio-Nano Things (IoBNT) systems, which

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On the Exact Performance Analysis of Molecular Communication via Diffusion for Internet of Bio-Nano Things

Cited by 7 publications

References 11 publications

Industrial Internet of Things Model Driven by Particle Filter and Network Communication Technology

Industrial Internet of Things Model Driven by Particle Filter and Network Communication Technology

A Multi Compartmental model for Targeted Drug Delivery Based on Internet of Biological NanoThings

A Systematic Review of Bio-Cyber Interface Technologies and Security Issues for Internet of Bio-Nano Things

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