Abnormality Detection and Monitoring in Multi-Sensor Molecular Communication

Ghoroghchian, Nafiseh; Mirmohseni, Mahtab; Nasiri-Kenari, Masoumeh

doi:10.1109/tmbmc.2020.2979370

Cited by 12 publications

(10 citation statements)

References 32 publications

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“…where (a) results from (4). By substituting the above equation in (5) and using some simplification, (5) can be reduced to the following form.…”

Section: A Decision Rulementioning

confidence: 99%

“…For example, the abnormality detection in medical applications has been received increasing attention in recent years [2]- [6]. The goal of these works is detecting the virus, bacteria, infectious micro organism or tumors in the body by means of static [2]- [4] or mobile nanomachines [5], [6]. If these abnormalities are detected, the next step would be treatments such as drug delivery, targeted therapy, nanosurgery, regenerative medicine and tissue engineering [7].…”

Section: Introductionmentioning

confidence: 99%

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Joint Sensing, Communication and Localization of a Silent Abnormality Using Molecular Diffusion

Khaloopour¹,

Mirmohseni²,

Nasiri-Kenari³

2022

Preprint

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In this paper, we propose a molecular communication system to localize an abnormality in a diffusion based medium. We consider a general setup to perform joint sensing, communication and localization. This setup consists of three types of devices, each for a different task: mobile sensors for navigation and molecule releasing (for communication), fusion centers (FC)s for sampling, amplifying and forwarding the signal, and a gateway for making decision or exchanging the information with an external device. The sensors move randomly in the environment to reach the abnormality. We consider both collaborative and non-collaborative sensors that simultaneously release their molecules to the FCs when the number of activated sensors or the moving time reach a certain threshold, respectively. The FCs amplify the received signal and forward it to the gateway for decision making using either an ideal or a noisy communication channel. A practical application of the proposed model is drug delivery in a tissue of human body, in order to guide the nanomachine bound drug to the exact location. The decision rules and probabilities of error are obtained for two considered sensors types in both ideal and noisy communication channels.

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“…where (a) results from (4). By substituting the above equation in (5) and using some simplification, (5) can be reduced to the following form.…”

Section: A Decision Rulementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint Sensing, Communication and Localization of a Silent Abnormality Using Molecular Diffusion

Khaloopour¹,

Mirmohseni²,

Nasiri-Kenari³

2022

Preprint

Self Cite

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“…In the second type of targets, no molecule is released from the target and sensors release molecules after detecting abnormality [4], [5], [15]- [18]. Here, the sensors can follow one of these two scenarios: (i) they only detect and/or localize the abnormality [2], [15], [16]; (ii) they move to the target point to perform an action [4], [5], [17], [18]. In works on scenario (i), the goal is abnormality detection.…”

Section: A Related Workmentioning

confidence: 99%

“…Each sensor senses a part of tissue and cooperates with other sensors by sending molecules to a fusion center (FC) through a three dimensional (3-D) diffusion channel, if senses an abnormality. The focus of [16] is monitoring the abnormality propagation by determining the location and the time of the changes, using noncooperative fixed sensors releasing different molecules to the FC, where the channel model is the same as [15]. The scenario (ii) is applicable for targeted drug delivery [4], [5], [17], [18].…”

Section: A Related Workmentioning

confidence: 99%

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Theoretical Concept Study of Cooperative Abnormality Detection and Localization in Fluidic-Medium Molecular Communication

Khaloopour¹,

Mirmohseni²,

Nasiri-Kenari³

2021

Preprint

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In this paper, we propose a theoretical framework for cooperative abnormality detection and localization systems by exploiting molecular communication setup. The system consists of mobile sensors in a fluidic medium, which are injected into the medium to search the environment for abnormality. Some fusion centers (FC) are placed at specific locations in the medium, which absorb all sensors arrived at their locations, and by observing its state, each FC decides on the abnormality existence and/or its location. To reduce the effects of sensor imperfection, we propose a scheme where the sensors release some molecules (i.e., markers) into the medium after they sense an abnormality. If the goal is abnormality detection, the released molecules are used to cooperatively activate other sensors. If the goal is abnormality localization, the released molecules are used by the FCs to determine the location. In our model, both sensors' imperfection and markers background noise are taken into account. For the detection phase, we consider two sensor types based on their activation strategy by markers. To make the analysis tractable, we assume some ideal assumptions for the sensors' model. We investigate the related binary hypothesis testing problem and obtain the probabilities of false alarm and miss-detection. It is shown that using sensors with the ability of cooperatively activating each other can significantly improve the detection performance in terms of probability of error. For the localization phase, we consider two types of FCs based on their capability in reading sensors' storage levels. We study their performance and obtain the optimal and sub-optimal decision schemes and also the probability of localization error for both perfect and imperfect sensing regimes.

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Abnormality Detection and Localization Schemes Using Molecular Communication Systems: A Survey

et al. 2023

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Abnormality detection and localization (ADL) have been studied widely in wireless sensor networks (WSNs) literature, where the sensors use electromagnetic waves for communication. Molecular communication (MC) has been introduced as an alternative approach for ADL in particular areas such as healthcare, being able to tackle the shortcomings of conventional WSNs, such as invasiveness, bioincompatibility, and high energy consumption. In this paper, we introduce a general framework for MCbased ADL, which consists of multiple tiers for sensing the abnormality and communication between different agents, including the sensors, the fusion center (FC), the gateway (GW), and the external node (e.g., a local cloud), and describe each tier and the agents in this framework. We classify and explain different abnormality recognition methods, the functional units of the sensors, and different sensor features. Further, we describe different types of interfaces required for converting the internal and external signals at the FC and GW. Moreover, we present a unified channel model for the sensing and communication links. We categorize the MC-based abnormality detection schemes based on the sensor mobility, cooperative detection, and cooperative sensing/activation. We also classify the localization approaches based on the sensor mobility and propulsion mechanisms and present a general framework for the externally-controllable localization systems. Finally, we present some challenges and future research directions to realize and develop MC-based systems for ADL. The important challenges in the MC-based systems lie in four main directions as implementation, system design, modeling, and methods, which need considerable attention from multidisciplinary perspectives.

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Abnormality Detection and Monitoring in Multi-Sensor Molecular Communication

Cited by 12 publications

References 32 publications

Joint Sensing, Communication and Localization of a Silent Abnormality Using Molecular Diffusion

Joint Sensing, Communication and Localization of a Silent Abnormality Using Molecular Diffusion

Theoretical Concept Study of Cooperative Abnormality Detection and Localization in Fluidic-Medium Molecular Communication

Abnormality Detection and Localization Schemes Using Molecular Communication Systems: A Survey

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