2021/05/16 by Ladan Khaloopour, Khaloopour, Ladan, Mahtab Mirmohseni +4 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Advanced biosensing and bioanalysis techniques #FOS: Electrical engineering #Gene Regulatory Network Analysis #Molecular Communication and Nanonetworks #Quantum Information and Cryptography #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2105.07438
openalex publication_date 2021/05/16 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
In this paper, we propose a theoretical framework for cooperative abnormality\ndetection and localization systems by exploiting molecular communication setup.\nThe system consists of mobile sensors in a fluidic medium, which are injected\ninto the medium to search the environment for abnormality. Some fusion centers\n(FC) are placed at specific locations in the medium, which absorb all sensors\narrived at their locations, and by observing its state, each FC decides on the\nabnormality existence and/or its location. To reduce the effects of sensor\nimperfection, we propose a scheme where the sensors release some molecules\n(i.e., markers) into the medium after they sense an abnormality. If the goal is\nabnormality detection, the released molecules are used to cooperatively\nactivate other sensors. If the goal is abnormality localization, the released\nmolecules are used by the FCs to determine the location. In our model, both\nsensors' imperfection and markers background noise are taken into account. For\nthe detection phase, we consider two sensor types based on their activation\nstrategy by markers. To make the analysis tractable, we assume some ideal\nassumptions for the sensors' model. We investigate the related binary\nhypothesis testing problem and obtain the probabilities of false alarm and\nmiss-detection. It is shown that using sensors with the ability of\ncooperatively activating each other can significantly improve the detection\nperformance in terms of probability of error. For the localization phase, we\nconsider two types of FCs based on their capability in reading sensors' storage\nlevels. We study their performance and obtain the optimal and sub-optimal\ndecision schemes and also the probability of localization error for both\nperfect and imperfect sensing regimes.\n