Emission Source Localization via Molecular Communication

Emission Source Localization via Molecular Communication

The overall objective of this project is to devise a novel Wireless Sensor Network (WSN) solution for underwater applications such as chemical source/leakage localisation by exploiting the Molecular Communication (MC) concept. MC is a relatively new interdisciplinary research paradigm that is related to the field of: communications, nanotechnology, biotechnology, fluid dynamics, and chemical engineering. In MC, molecules are utilized to convey information which can be observed in nature (e.g., quorum sensing between bacteria at the micro-scales and pheromone-based communication at the macro-scales in both air and water environments).
 
The proposed system can be used for chemical emission or leakage localisation applications such as: localizing an undesired leakage of toxic substance from a pipe at the sea floor; localizing the emission of signalling chemicals from a wrecked plane in ocean. In both mission critical examples, chemicals are seen as a signal from communication perspective; hence plume source localisation is similar to the active transmitter localisation in classical wireless communication systems. Therefore, integrating MC-inspired algorithms to the underwater search robots will bring novel perspectives and result in more effective search strategies.
 
Objectives
1- Adding flow field capability to the molecule propagation simulator that is already developed in MATLAB. Codes of the existing simulator will be provided.
2- Generating data for training phase of the localisation applications
3- Training a node that tracks the molecule/plume emission source similar to the case of blue crabs hunting for their prey/food.
4- Evaluate the effects of parameters/capabilities like memory and vision/sensing on finding the target
 
Requirements:
- MATLAB knowledge
- (it is not necessary but optionally) Tensor Flow + Keras knowledge can be helpful for training the algorithms.

Project Advisor: 

Tuna Tuğcu

Project Year: 

2019
  • Spring

Contact us

Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461
 

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