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ComNets Seminar

Selected Topics in Sustainable Communication Networks

July 2021

Wednesday, July 21st

 

16:00 - 17:00

 

Zoom

Early warning system for landslides using Wireless Sensor Networks

Speaker: Piumika Karunanayake

Landslide is a natural disaster which causes a considerable damage to the natural habitat,
environment, economy and other resources. Due to the randomness of the event, monitoring,
predicting and controlling are major challenges associated with landslides. Yet, developing an
accurate prediction mechanism with an effective early warning system has become a need of
the hour since the damages and the losses occurred due to the landslides are intolerable. There
exist expensive, advanced mechanisms deployed to predict the possibility of occurring
landslides by using satellites and radar systems with artificial intelligence capabilities.
Comparing with the existing high-end systems, a cost effective wireless sensor network which is
capable of identifying the underground movements and soil conditions is introduced as a
practical solution. Yet, dealing with a large number of sensor data and identifying the
correlation of the variables and the occurrence of a landslide is difficult. Hence in this work,
machine learning is used to predict the occurrence of landslide with a set of sensor data
gathered for a period of two years on a land which is identified as prone for land slide in Sri
Lanka. After developing three models for prediction, one model was selected as its performance
measurements are better compared to other two including an accuracy of 99.8%. An prototype
of warning system is also built which takes the model output and display a web based warning
message. Although the developed machine learning model is site specific, similar approach can
be implemented in other landslide prone areas to improve the efficiency of the disaster
management system in Sri Lanka.

 

Wednesday, July 7th

 

16:00 - 17:00

 

Zoom

 

 

Collecting Data in Ubiquitous Infrastructures: How to Engage Communities and Make Sense of Large Volumes of Data

Speaker: Catia Prandi

In this talk, I will present some case studies where crowdsourcing/crowdsensing, and participatory sensing were applied to ubiquitous infrastructures to investigate how to gather data regarding relevant issues (such as urban accessibility and environmental sustainability). In presenting these studies, I will focus on how the systems have been designed and evaluated using HCI methodologies, and I will point to strategies for involving users, such as gamification/gameful experiences and data visualization, in collecting data and making sense of large volumes of data to benefit the different communities.

 

June 2021

Wednesday, June 9th

 

17:00 - 18:00

 

Zoom

LDACS: Self-organizing air-to-air communication

Speaker: Sebastian Lindner (Research Fellow at TUHH)

The Single European Sky Air Traffic Management Research (SESAR) program is a joint undertaking to overhaul and modernize European air traffic management. During all phases of flight, modern digital data links shall realize the Future Communications Infrastructure (FCI). The air-to-air (A2A) component of the FCI is the L-band Digital Aeronautical Communications System (LDACS) A2A mode, which is currently in early stages of development.
In this talk, we would like to present the challenges such a mobile network must tackle and give an overview on the self-organizing medium access control (MAC) that is being researched. Also, an offshoot project towards a Machine Learning-based predictive MAC that realizes coexistence with legacy communication systems in the same frequency band will be discussed.