andreas loukas
I am a Ph.D. candidate at Koen Langendoen's Embedded Software group, Software Technology, Delft University of Technology, Netherlands.
crowd dynamics
Crowds often exchibit complex self-organizing behavior. Below you can observe the result of 1000 people evacuating a hall. On the right I compute the evacuation flow, which is the crowd density multiplied by crowd speed per unit space.
The mobility model was based on the work by Burstedde, et.al. The crowd exists as autonomous entities or agents of a cellular automaton. Its primary objective is self-preservation, thus reaching the door on the right. Like ants, agents, i.e., people, tend to follow each other by emitting and following virtual pherormones. We also take the notion of personal space into account, such that people tend to avoid standing very close to each other.
fair rate allocation
Below you can see a decentralized adaptive algorithm that attains fair rate allocations. The objective of each node is to claim its fair share (green disk) of the local bandwidth (outer disk). The channel load is shown by the size and colour of the outer disk: white is good, red is bad.
Nodes move according to the random waypoint model. Parameters are set to mimic human runners. The mobility traces were generated with the BonnMotion tool.
teaching
Embedded Real-Time Systems Course (In4073).
Wireless Sensor Network Seminar (In4316).
research projects
Dependable Distributed Sensor Systems (D2S2) project.
The D2S2 project aims at developing a framework for programming and operating distributed sensor systems that can be depended on in practical application scenarios. To make an experimental approach feasible, the project focuses on localization and tracking systems in two scenarios that are very relevant to the Dutch society: traffic monitoring and control (static setup) and rescue operations by firefighters and policemen (dynamic setup). A key, innovative feature of the project is the development and use of an advanced miniaturized radar sensor that can operate under a wide range of difficult environmental conditions (smoke, fog, etc.) that cannot be handled by typical localization systems in operation today.
WiseBED project.
The aim of this project is to provide a multi-level infrastracture of interconnected testbeds of largescale wireless sensor networks for research purposes, pursuing an interdisciplinary approach that integrates the aspects of hardware, software, algorithms, and data. This will demonstrate how heterogeneous small-scale devices and testbeds can be brought together to form well-organized, large-scale structures, rather than just some large network; it will allow research not only at a much larger scale, but also in different quality, due to heterogeneous structure and the ability to deal with dynamic scenarios, both in membership and location.
publications & tech-reports
2012
V.G. Iyer and A. Loukas and S.O. Dulman (2012). Nest : A Practical Algorithm for Neighborhood Discovery in Dynamic Wireless Networks using Adaptive Beaconing. Technical Report ES-2012-01, Delft University of Technology, 2012. [ BibTeX ]
2011
A. Loukas and M. Woehrle and K.G. Langendoen (2011). On Mining Sensor Network Software Repositories. In 2nd Int. Workshop on Software Engineering for Sensor Network Applications (SESENA 2011), pp. 25--30, Waikiki, Honolulu, Hawaii. ACM. [ BibTeX ]
2008
O. Akribopoulos, D. Bousis and D. Efstathiou and H. Koutsouridis and M. Logaras and A. Loukas and A. Nafas and G. Oikonomou and I. Thireou and N. Vasilakis and P. Kokkinos and G. Mylonas and I. Chatzigiannakis (2008). A Software Platform for Developing Multi-player Pervasive Games Using Small Programmable Object Technologies. In 5th Int. Conference on Mobile Ad-hoc and Sensor Systems (IEEEMASS 2008) , pp. 544--546, Atlanta, Georgia. IEEE. [ BibTeX ] (best demo paper award)
contact
Email: ln.tfledut@sakuol.a
Office HB 09.030, EWI, TU Delft
Mekelweg 4
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