Welcome!
This is the homepage of the wireLEss MObile delay-tolerant Network Analysis anD Experimentation (LEMONADE) project.
About LEMONADE
The aim of project LEMONADE is the analysis of and experimentation with wireless mobile Delay-Tolerant Networks (DTNs).
In DTNs data delivery delays are very large, often comparable to the time it takes for the topology of the network or its other important features to change significantly. The subject of this project, wireless mobile DTNs, is an important class of DTNs wherein nodes store data, carry them in their buffers as they move in space, and transmit them wirelessly to other nodes they encounter.
The scientific results of this project can be applied to important types of networks of emerging importance that can be viewed as wireless mobile DTNs, in particular:
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Networks of satellites orbiting the Earth that transport to/from ground stations data related to terrain monitoring, deep-space missions, etc.
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Networks of Unmanned Airborne/Surface/Ground Vehicles (UxVs).
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Pocket-switched networks (PSNs), made up of smartphones.
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Vehicular networks.
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The last two examples are also representative of the Internet of Things (IoT) paradigm (under which everyday objects form networks and exchange data without direct control by humans) in the important case where large data delivery delays are either unavoidable or acceptable.
Project LEMONADE has three main scientific goals:
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Advance the state of the art in our fundamental knowledge on the traffic-carrying capabilities of DTNs, specifically in the directions of optimizing the forwarding rules with which data packets are forwarded and, on a broader level, optimizing the complete traffic flow.
- Advocate, enable, and demonstrate the use of DTN principles in two emerging networking paradigms, i.e., the IoT and UxV networks.
- Build a wireless mobile DTN testbed that will be used for experimentation, through which results can be verified, challenges will be revealed, and intuition and knowhow can be accumulated.
Fact sheet
Duration |
1 Jan. 2020 - 15 Jan. 2024 |
Principal Investigator |
Stavros Toumpis |
Collaborators |
Livia-Elena Chadjieleftheriou
Dimitrios Kafetzis
Thomas Tsouparopoulos
Nikolaos Smyrnioudis
Leonidas Tsolas
Yannis Thomas
Merkourios Karaliopoulos
Iordanis Koutsopoulos
George C. Polyzos
|
Dissemination
Publications in journals, conferences and workshops
- Y. Thomas, N. Fotiou, S. Toumpis and G.C. Polyzos, "Improving mobile ad hoc networks using hybrid IP-Information Centric Networking," Computer Communications, Elsevier, Volume 156, 2020, Pages 25-34, ISSN 0140-3664.
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ScienceDirect
- R. Cavallari, S. Toumpis, R. Verdone and I. Kontoyiannis, "Packet Speed and Cost in Mobile Wireless Delay-Tolerant Networks," IEEE Transactions on Information Theory, vol. 66, no. 9, pp. 5683-5702, Sept. 2020, doi: 10.1109/TIT.2020.3009690.
IEEEXplore
- D. Kafetzis, I. Fourfouris, S. Argyropoulos and I. Koutsopoulos, "UAV-assisted Aerial Survey of Railways using Deep Learning," in Proc. International Conference on Unmanned Aircraft Systems (ICUAS), Athens, Greece, 2020, pp. 1491-1500, doi: 10.1109/ICUAS48674.2020.9213928.
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IEEEXplore
- E. Charteros and I. Koutsopoulos, "Edge Computing for Having an Edge on Cancer Treatment: A Mobile App for Breast Image Analysis," in Proc. IEEE International Conference on Communications Workshops (ICC Workshops), Dublin, Ireland, 2020, pp. 1-6, doi: 10.1109/ICCWorkshops49005.2020.9145219.
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IEEEXplore
- Y. Thomas, N. Smyrnioudis and S. Toumpis, "Experimental measurement of the capacity region of wireless networks," in Proc. International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), 2021, pp. 1-8, doi: 10.23919/WiOpt52861.2021.9589062.
IEEEXplore
- L. E. Chatzieleftheriou, M. Karaliopoulos and I. Koutsopoulos, “On the joint optimization of content caching and recommendations," Edge caching for mobile networks (Edited by V. Poor and W. Chen), The Institution of Engineering and Technology (IET), 2021.
IET Digital Library
- L. E. Chatzieleftheriou and I. Koutsopoulos, "Jointly Learning Optimal Task Offloading and Scheduling Policies for Mobile Edge Computing," in Proc. RAWNET, Sep. 2022
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- T. Tsouparopoulos and I. Koutsopoulos, "Implementation of Federated Learning on Resource-constrained devices: Lessons learned," in Proc. IFIP Networking, June 2022
IEEExplore
- Y. Thomas and S. Toumpis. "TWIST: Thin-waist wireless testbed for measuring interfering traffic stream throughputs," in Proc. IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), June 2023.
IEEExplore
- E. Charteros and I. Koutsopoulos, "Lay Importance on the Layer: Federated Learning for Non-IID data with Layer-based Regularization," in Proc. IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), May 2023
IEEExplore
- Y. Thomas, N. Smyrnioudis and S. Toumpis, "Digital twin approach to estimating and utilizing the capacity region of wireless ad hoc networks," Computer Networks, Elsevier, 2024, doi: 10.1016/j.cmnet.2024.110213
Science Direct
- U. Schilcher, S. Toumpis, S. S. Borkotoky, J. F. Schmidt, and C. Bettstetter, "Calculating the Traffic Density in LPWANs with Finite Retransmissions," IEEE VTC Spring, June 2024
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- D. Kafetzis and I. Koutsopoulos, "DNN Partitioning and Inference Task Offloading in 6G Resource-Constrained Networks," in Proc. European Communications and Networking Conference (EUCNC) and 6G Summit, Antwerp, Belgium, June 2024.
IEEExplore
- U. Schilcher and S. Toumpis. "On Outage Probabilities with Correlated Locations, Channel, and Traffic in Wireless Networks," IEEE Communications Letters, June 2024.
IEEExplore
- S. Nikoloutsopoulos, I. Koutsopulos and M. K. Titsias, "Kullback-Leibler Reservoir Sampling for Fairness in Continual Learning," in Proc. ICMLCN, May 2024.
IEEExplore
Testbed
A testbed is designed and implemented in the context of LEMONADE project in order to make real-life transmission rate measurements in ad hoc wireless networks. The testbed currently consists of 20 wireless nodes, materialized through Rasbperry Pi devices, that are placed inside three different floors of an office building of the Athens University of Economics and Business. The testbed supports the estimation of performance in sophisticated transmission mode schemes, thus introducing the first scientific tool for studying the Capacity Region of wireless ad hoc networks without resorting to modeling tools. The paper that presents the testbed is available
here.
Datasets
Datasets of Transmission Mode measurements that were made in the testbed are available
here.