Viral Aerosol Concentration Characterization and Detection in Bounded Environments

Amin, Osama; Dahrouj, Hayssam; Almayouf, Nojood; Al-Naffouri, Tareq Y.; Shihada, Basem; Alouini, Mohamed‐Slim

doi:10.1109/tmbmc.2021.3083718

Cited by 7 publications

(9 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In most of these applications, it is required to monitor the environment to detect and localize the occurrence of abnormal changes, e.g., the presence of tumor cells inside the body, pollution in the air or water, leakage or pressure drop in oil pipelines. MC systems are envisioned to detect abnormalities in both microscale (range of a nano-meter to a micro-meter) applications, such as early detection of cancer cells inside the body [38], and macro-scale (range of a micro-meter to a meter) applications, such as detection of virus in the air [39], and detection of leakage or pressure drop in oil-pipelines [40].…”

Section: A Motivationmentioning

confidence: 99%

“…Alternatively, they can send their information (either the raw information or their local decision about the abnormality) to an FC to make the final decision (called cooperative detection). In the existing works, for non-cooperative detection, only one sensor is used, which makes the final decision about a single abnormal event [39], [41].…”

Section: B Multi-tier Mc-based Adl Layoutmentioning

confidence: 99%

“…• Mobility: Sensors may be mobile or stationary. The locations of the stationary sensors are fixed, e.g., skinintegrated and implantable sensors [98], [99], tissueintegrated sensors [100], and virus or air pollutant sensors in a room [39]. On the other hand, the sensors may be able to move passively [43] or actively (autonomously) [49], [101] in the environment.…”

Section: B Sensorsmentioning

confidence: 99%

“…This is the author's version which has not been fully edited and content may change prior to final publication. Externallypropelled (active) [39], [41], [53] [42], [54], [70], [72], [90], [118]- [121] [31], [43]- [45], [78], [122] [38]…”

Section: A Abnormality Detection Problem Formulationmentioning

confidence: 99%

See 3 more Smart Citations

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

et al. 2023

View full text Add to dashboard Cite

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.

show abstract

Section: A Motivationmentioning

confidence: 99%

Section: B Multi-tier Mc-based Adl Layoutmentioning

confidence: 99%

Section: B Sensorsmentioning

confidence: 99%

Section: A Abnormality Detection Problem Formulationmentioning

confidence: 99%

See 2 more Smart Citations

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

et al. 2023

View full text Add to dashboard Cite

show abstract

“…As for the modeling of infectious diseases between two humans, a human emitting expiratory droplets is an information source [4] , [5] , [6] . When these emitted information carrying droplets are received by another human through sensory organs, we can consider there exists a communication path between them.…”

Section: Introductionmentioning

confidence: 99%