Sofia Fanarioti received in 2009 her BSc in Informatics from the Department of Informatics Engineering, School of Applied Technology, TEI of Crete, Greece and in 2014 her MSc in Informatics from the Department of Informatics, Ionian University, Greece. She is currently a Ph.D. student at the sate department, Her research interests are in the area of wireless sensor networks for supporting agricultural activities.
Tel.: +30 26610 87734
||Sofia Fanarioti, “Synchronization of Measurements in Wireless Sensor Networks”, On-going Ph.D. Thesis, Ionian University.
Abstract: This doctoral dissertation treats the problem of synchronizing measurements on a wireless sensor network. Specifically, it examines the aspects of the wireless sensor network area and focuses on the development of algorithms to better synchronize the measurements taken by the nodes in order to achieve a more effective correlation and thus better knowledge of the system. In particular, it does not address the problem only from the point of view of the synchronization of the individual sensor clocks, but also from distributed approaches that synchronize the timestamps of measurements taken by the nodes. Synchronization is a crucial factor with a great deal of importance in dynamic and distributed environments. The need for synchronization stems from the dependence of specific systems and subsystems on accurate and accurate data and measurement times, with various protocols and methodologies being proposed from time to time .For these reasons, the concept of synchronization is also important in the case of wireless sensor networks, which are sensitive to environmental changes and are easily affected by many physical parameters, such as temperature. Wireless sensor networks have spread widely over the last decade in many areas of everyday life, life and many activities (eg, monitoring pollution, precision agriculture, etc.), mainly due to the development of low-cost devices implemented by the sensor network. Each sensor node detects some interesting data (e.g., humidity, temperature) and the specific measurements must be are matched to the actual time that took place, i.e., the exact time (timing) so they can be further analyzed and produce reliable analyzes and statistics .The research so far conducted in this PhD thesis focuses in the synchronization of the individual measurements, based on the hops junctions from the sink node, which is responsible for the final collection of all of the measurements. There is already a publication in this context, which deals with the timing of each measurement received from the nodes and their synchronization as they are forwarded to the sink node of the wireless network sensors, so that they can always be correlated and analyzed effectively and valid., 2014.
||Konstantinos Skiadopoulos, Konstantinos Giannakis, Konstantinos Oikonomou, Ioannis Stavrakakis, Sofia Fanarioti, “A Distributed Method to Organize Terrestrial Nodes to Facilitate Short Drone Routes in WSNs”, In Third International Balkan Conference on Communications and Networking 2019 (BalkanCom’19), Skopje, North Macedonia, 2019. ([pdf])
||Sofia Fanarioti, Athanasios Tsipis, Konstantinos Giannakis, George Koufoudakis, Eleni Christopoulou, Konstantinos Oikonomou, Ioannis Stavrakakis, “A Proposed Algorithm for Data Measurements Synchronization in Wireless Sensor Networks”, In Second International Balkan Conference on Communications and Networking 2018 (BalkanCom’18), Podgorica, Montenegro, 2018. ([pdf])
||Sofia Fanarioti, “MSc, BSc”.