Research Related to MySignals Project
This page contains links and short descriptions of the research and engineering work related to this project. Fell free to contact us for additional information.
This project develops a “sensing” community for cellular telephony, utilizing users’ mobile phones as sensors. Apart from the real world software engineering challenges, this work offered a strong research incentive. 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. The utilization of a vast amount of real data as well as the integration of a careful modeling of GSM network with a non parametric estimator, offered results with absolute error around 50m. Moreover, there are many research potentials due to the vast amount of the real world data (e.g. frequency management in cellular networks or smartphones' error sensor models, i.e. RSS indicator, GPS, gyroscope etc).
Community RF Sensing (Oct. 2012), under the supervision of Prof. Aggelos Bletsas.
- E. Alimpertis, N. Fasarakis-Hilliard and A. Bletsas, "Community RF Sensing for Source Localization", submitted for publication in IEEE Wireless Communications Letters.
- E. Alimpertis, "Cell Tower Discovery via Particle Filtering: Progress Report", School of ECE, Technical Univ. of Crete, Crete, July 2013.