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Cooperative Transmission and Detection Strategies in Molecular Communication

Khaloopour, Ladan | 2022

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 55492 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Mirmohseni, Mahtab; Nasiri Kenari, Masoumeh
  7. Abstract:
  8. Molecular communication (MC) is a new paradigm, in which the molecules or ions are used as information carriers. MC has been proposed as a promising approach for abnormality detection and localization in a variety of micro-scale and macro-scale applications in biotechnology, medicine, and industry; such as air pollutant monitoring, agriculture, abnormality detection in pipelines, and drug delivery. The goal in some of these works is to detect the tumors, viruses, and infectious micro-organisms in the body or leakage and pressure drop in pipelines. If these abnormalities are detected, the next step would be localizing them to finding a solution or treatment, e.g., drug delivery, or targeted therapy. In this dissertation, we focus on the abnormality detection and localization problems in both micro-scale and macro-scale MC. First, we study these problems in macro-scale, where the abnormalities can be leakage, pressure drop, obstacles and contaminates in pipelines. We propose a system including some mobile sensors and fusion center (FC)s. The mobile sensors move in the fluidic medium to reach the abnormality, where they are activated and release their molecules. The inactive sensors can be activated cooperatively by receiving these molecules. Finally, all sensors are received by the FC, where the decisions about the existence of abnormality and/or its location are made using the sensors’ status and markers. We consider two types of memoryless and aggregate sensors, and two types of FCs based on their resolutions in reading the sensors’ storage levels. We obtain the distribution of the number of activated sensors in each sub-region, the decision rules, optimum/sub-optimum thresholds, and the probabilities of error. Next, we consider the problem of abnormality localization in a micro-scale diffusionbased environment, where the abnormality has been previously detected. We consider a system including some mobile sensors, a few FCs, and a gateway (GW). The sensors move in the medium based on the random walk model to reach the abnormality, where they stop and release their molecules after a short delay. The FCs receive these molecules, amplify and forward their observations using other types of molecules to the GW, where the decision is made. We study the problem for two types of collaborative and non-collaborative sensors, and two cases of ideal and non-ideal communication channels between the FCs and GW. We obtain the decision rules, sub-optimum thresholds, and probabilities of error. Finally, we implement an experimental platform in a fluidic medium with a point-to-point communication channel. The transmission medium we consider is water in the pipe; a transmitter releases Hydrochloric acid molecules into this pipe and a chemical sensor is used as the receiver. We propose an LTI model for the pH-meter and obtain its parameters based on the experimental results. Next, we design the appropriate encoding-decoding schemes and implement the optimum receiver for the validated model and obtained parameters. To increase the rate, an ISI mitigating method is implemented with adaptive thresholds. In particular, an end-to-end theoretical model is proposed for this system which is confirmed by experiments as well as simulation results using COMSOL software platform. The performance of the system is analyzed in terms of the bit error probability and the communication rate
  9. Keywords:
  10. Molecular Communication ; Diffusion ; Targeted Druy Delivery ; Anomaly Detection ; Fluidic Medium ; Cooperative Sensors ; Abnormality Localization ; Information Transfer

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