Intrabody Molecular Communication via Blood-Tissue Barrier for Internet of Bio-Nano Things

Al-Zu'bi, Muneer M.; Mohan, A.S.; Plapper, Peter; Ling, Sai Ho

doi:10.1109/jiot.2022.3182150

Cited by 11 publications

(2 citation statements)

References 30 publications

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“…sensing, communication, and computing tasks [3]. Nanonetworks, with their size advantage, are poised to revolutionize a range of wireless applications, from intra-body healthcare to hazardous environments in chemical industries [4]- [7]. However, their small scale presents unique challenges, including strict limitations on energy, computing power, and processing capacity.…”

Section: Introductionmentioning

confidence: 99%

An M-Ary Concentration-Shift Keying With Common Detection Thresholds for Multitransmitter Molecular Communication

Shitiri,

Cho

2024

IEEE Internet Things J.

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Concentration shift keying (CSK) is a widely studied modulation technique for molecular communication-based nanonetworks, which is a key enabler for the Internet of Bio-NanoThings (IoBNT). Existing CSK methods, while offering optimal error performance, suffer from increased operational complexity that scales poorly as the number of transmitters, K, grows. In this study, a novel M-ary CSK method is proposed: CSK with common detection thresholds (CSK-CT). CSK-CT uses common thresholds, set sufficiently low to guarantee the reliable detection of symbols from all transmitters, regardless of distance. Closed-form expressions are derived to obtain the common thresholds and release concentrations. To further enhance error performance, the release concentration is optimized using a scaling exponent that also optimizes the common thresholds. The performance of CSK-CT is evaluated against the benchmark CSK across various K and M values. CSK-CT has an error probability between 10 −7 and 10 −4 , which is a substantial improvement from that of the benchmark CSK (from 10 −4 to 10 −3 ). In terms of complexity, CSK-CT is O n and does not scale with K but M (M K), whereas the benchmark is O n 2 . Furthermore, CSK-CT can mitigate inter-symbol interference (ISI), although this facet merits further investigation. Owing to its low error rates, improved scalability, reduced complexity, and potential ISI mitigation features, CSK-CT is particularly advantageous for IoBNT applications focused on data gathering. Its effectiveness is especially notable in scenarios where a computationally limited receiver is tasked with collecting vital health data from multiple transmitters.

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Section: Introductionmentioning

confidence: 99%

An M-Ary Concentration-Shift Keying With Common Detection Thresholds for Multitransmitter Molecular Communication

Shitiri,

Cho

2024

IEEE Internet Things J.

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“…In addition, the idea of using MC theory to construct Internet of Bio-NanoThing (IoBNT) has been proposed firstly in [29], where bacteria populations are commonly used to relay the IoBNT information. IoBNT also has the potential applications in targeted therapy, and has received extensive discussion in recent years [30]- [32]. Motivated by above, a magnetotactic bacteria (MTB) based MC model is proposed in our work, which exhibits a combination of MC and magnetic controlled micro-nano robot.…”

Section: Introductionmentioning

confidence: 99%

Temporal Convolutional Network-Based Signal Detection for Magnetotactic Bacteria Communication System

Bai

Zhu

et al. 2023

IEEE Trans.on Nanobioscience

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Molecular communication (MC) aims to use signaling molecules as information carriers to achieve communication between biological entities. However, MC systems severely suffer from inter symbol interference (ISI) and external noise, making it virtually difficult t o obtain accurate mathematical models. Specifically, the mathematically intractable channel state information (CSI) of MC motivates the deep learning (DL) based signal detection methods. In this paper, a modified t emporal convolutional network (TCN) is proposed for signal detection for a special MC communication system which uses magnetotactic bacteria (MTB) as information carriers. Results show that the TCN-based detector demonstrates the best overall performance. In particular, it achieves better bit error rate (BER) performance than sub-optimal maximum a posteriori (MAP) and deep neural network (DNN) based detectors. However, it behaves similar with the bidirectional long short term memory (BiLSTM) based detector that have been previously proposed and worse than the optimal MAP detector. When both BER performance and computational complexity are taken into account, the proposed TCN-based detector outperforms BiLSTM-based detectors. Furthermore, in terms of robustness evaluation, the proposed TCN-based detector outperforms all other DL-based detectors.

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Analysis of Layer’s Tasks in Molecular Communication: Application, Transport, Network, and Link Layers

Cevallos,

Vacacela Gómez,

Tello-Oquendo

et al. 2023

Molecular Communications

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Intrabody Molecular Communication via Blood-Tissue Barrier for Internet of Bio-Nano Things

Cited by 11 publications

References 30 publications

An M-Ary Concentration-Shift Keying With Common Detection Thresholds for Multitransmitter Molecular Communication

An M-Ary Concentration-Shift Keying With Common Detection Thresholds for Multitransmitter Molecular Communication

Temporal Convolutional Network-Based Signal Detection for Magnetotactic Bacteria Communication System

Analysis of Layer’s Tasks in Molecular Communication: Application, Transport, Network, and Link Layers

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