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Selected Projects

Here you will find information about some of my research projects.

1. Community RF Sensing - Mobile Coverage Maps This work builds Community RF Sensing for cellular mobile telephony, utilizing users' mobiles as sensors. Thus, mobile coverage maps are created by users themselves. Moreover, this work offers tools of immense importance for network engineers and researchers and at the same time offers a social and information tool about cellular telephony network. Thus, a complete Community RF Sensing platform is developed, serving diverse purposes. The system is designed to support a large number of user-sensors and could assist in city-wide evaluations of existing cellular telephony network deployments.

2. Localization of Mobile Telephony RF Sources (GSM base stations)

Apart from the cellular network monitoring system by user themselves, the aforementioned work offered strong research incentives. For instance, we were able to systematically demonstrate the necessity of a dense network of cell towers, a basic principle of wireless communications that is not widely known. In this context, the idea of discovering the location of the unknown and unlisted cell tower locations emerged, which could also corroborate the development of GPS-free localization services. We utilized a vast amount of real data provided by the users of the MySignals iPhone App. The integration of a careful modeling of GSM network with non parametric state estimator offered promising results. Experimental Results on real-world measurements with absolute error on the order of 50m are reported. The idea already touched upon in "Community RF sensing" diploma thesis for public awareness of cellular mobile telephony is of immense importance since an extremely dense cellular tower network is the basic principle for the 5G wireless networks. Next generation mobile networks will achieve network speeds over 1 Gbps only if an extremely dense network of femtocells is established.

3. Cellular Telephony Monitoring Tools

In order to analyse in depth the cellular mobile network performance per region, we have developed several monitoring and analysis tools. For instance, user's RSS demonstration tool has been developed. The network engineer-researcher can choose a specific location and retrieve the RSS level throughout the desired time interval.

4. Backscatter Networks for Large Scale Environmental Sensing

This project included the software infrastructure for demonstration of the environmental measurements collected by a wireless sensor network (WSN) developed in the research project BLASE-ERC04. More specifically, the WSN sends the collected measurements via Internet connection to a central web database for permanent storage and demonstration. Thus, the users of the system are able to monitor the collected environmental data via a user friendly web interface, where the measurements are illustrated in dynamic generated figures-charts. Furthermore, researchers have access to the collected measurements which may come from many different WSN deployments. As a proof of concept, the system was used for the environmental measurements collected by the Backscatter Network for Large-Scale Environmental Sensing deployed in a greenhouse at Mediterranean Agronomic Institute of Chania (MAICH), developed in the context of the ERC-04-BLASE project. The described system is adjustable and suitable for any WSN deployment of the BLASE's project.

5. RF tag-sensor localization in bistatic scatter radio networks

RF tag-sensor localization in bistatic scatter radio networks for environmental sensing, is considered. RF tag-sensor localization is of immense importance since accurate sensor localization is a key-enabling feature for the adoption of sensing applications in everyday life. In this project, the tag localization was achieved exploiting RSS measurements by multiple low cost carrier emitters.

6. Remote Sensor Network via GPRS

Semester Project, Course: Analysis and Design (Synthesis) of Telecom Modules. Click here to download the block diagram A WSN can be deployed remotely from a wired internet access and provide measurements feedback everywhere in the world using the cellular mobile telephony network and more specifically a GPRS module controlled and driven by a MCU 8051.

7. Artificial Intelligent agent for the reversi game

Semester Project, Course: Artificial Intelligence. A minimax implementation for the reversi game designed for the course of Artificial Intelligent. To achieve high execution speed the a-b pruning approach has been implemented."