Channel Characterization for Devices in a Turbulent Diffusive Environment: A Mobile Molecular Communication Approach

Pandey, Navneet Kumar; Joshi, Sandeep; Mallik, Ranjan K.; Lall, Brejesh

doi:10.1109/tmbmc.2020.2988761

Cited by 7 publications

(3 citation statements)

References 32 publications

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“…where D is the diffusion coefficient in (8), M is the number of released molecules, V is the drift speed of the channel, and…”

Section: Concentration Reshold Settingmentioning

confidence: 99%

“…Due to this, MC technology can achieve communications in some special scenarios that traditional communication technology cannot work well, such as pipeline [2], human body [3], and saltwater environment [4,5]. With the characteristics of high efficiency and low energy consumption, MC has attracted extensive attention in many fields such as e-health [6], bioengineering [7], and environmental science [8].…”

Section: Introductionmentioning

confidence: 99%

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Modulation and Signal Detection for Diffusive-Drift Molecular Communication with a Mobile Receiver

Liao

Jia

et al. 2021

Mobile Information Systems

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Molecular communication (MC), which allows nanomachines to communicate with each other by using chemical molecules, is considered to be a promising method for communications in liquid environment. Available works on MC mainly focus on modulation and signal detection schemes for MC systems with fixed nanomachines, i.e., fixed molecular communication (FMC) systems. However, the more complex systems with mobile nanomachines (i.e., mobile molecular communication (MMC) systems) have been largely unexplored. This paper considers a MMC system with a fixed transmitter and a mobile receiver communicating over diffusive-drift channels of a limited boundary. We first propose a new modulation scheme to address the issue of misalignment in the signal detection of MMC systems by adopting three types of molecules in the signal modulation and modulating the transmitted signals into blocks with equal length to avoid the transferring of a signal error in the current block on the signal detection in other blocks. We then propose a new signal detection scheme of the MMC systems by calculating the distance between the transmitter and the receiver based on a distance prediction method and detecting signals at the receiver based on the decided adaptive concentration threshold in each time interval. To verify the efficiency of our proposed scheme, we then conducted extensive simulations by the Monte Carlo simulation, and comparisons are also made among our proposed schemes, a well-known fixed threshold signal detection scheme, the CATD scheme, the PAD scheme, and a low complexity signal detection scheme for MMC systems in terms of the BER (bit error rate). Results show that our proposed schemes can outperform these schemes regarding the BER.

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“…where D is the diffusion coefficient in (8), M is the number of released molecules, V is the drift speed of the channel, and…”

Section: Concentration Reshold Settingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modulation and Signal Detection for Diffusive-Drift Molecular Communication with a Mobile Receiver

Liao

Jia

et al. 2021

Mobile Information Systems

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“…This movement of the information molecules from the transmitter to the receiver can be further assisted by some positive drift in the fluid medium. To transmit the information, we can modulate certain properties of the transmitted molecules, such as concentration, type, number, or time of release [2], [3], [4].…”

mentioning

confidence: 99%

Characterizing the Probability of Collision Between Information Particles in Molecular Communications

Pandey

Joshi

Mallik

2021

IEEE Wireless Commun. Lett.

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Most of the works reported in the existing molecular communication literature make an assumption that the information molecules released in the fluid medium do not interact with each other and follow independent and identically distributed paths to the receiver. However, there are certain molecular transport paradigms where such an assumption does not hold and the interactions between the information molecules play an important role in characterizing such molecular communication processes. Motivated by this, we provide in this letter an analysis for the possible interaction between two information molecules that are released into the fluid medium a certain time interval apart in the case of a molecular timing channel. We calculate the probability that the two information molecules collide before any one of them is absorbed at the boundary. We also derive the distribution of the collision time and the collision position of the information molecules. Furthermore, numerical results corroborate our analysis. Index Terms-ActiveBrownian particles, Brownian motion, crowding, first passage time, inverse Gaussian distribution, Lévy distribution. I. INTRODUCTIONM OLECULAR communication (MC), where information is transmitted through the exchange of information molecules between the transmitter and the receiver, has emerged as a promising communication option for the design and analysis of nanonetworks consisting of biological or man-made functional components in the size range of 0.1 to 10 μm [1]. MC via diffusion relies upon the underlying process of Brownian motion for the movement of the information molecules from the transmitter to the receiver. This movement of the information molecules from the transmitter to the receiver can be further assisted by some positive drift in the fluid medium. To transmit the information, we can modulate certain properties of the transmitted molecules, such as concentration, type, number, or time of release [2], [3], [4].

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Error Analysis of Molecular Communications System with Hybrid Channel Transmission Scheme

Bhatnagar,

Joshi

2023

2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)

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Channel Characterization for Devices in a Turbulent Diffusive Environment: A Mobile Molecular Communication Approach

Cited by 7 publications

References 32 publications

Modulation and Signal Detection for Diffusive-Drift Molecular Communication with a Mobile Receiver

Modulation and Signal Detection for Diffusive-Drift Molecular Communication with a Mobile Receiver

Characterizing the Probability of Collision Between Information Particles in Molecular Communications

Error Analysis of Molecular Communications System with Hybrid Channel Transmission Scheme

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