Publications

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Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2010). Systematic Network Coding for Time Division Duplexing. In Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on (pp. 2403-2407). IEEE . https://doi.org/10.1109/ISIT.2010.5513768

Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2009). Random Linear Network Coding for Time-Division Duplexing: Field Size Considerations. In IEEE GLOBAL COMMUNICATIONS CONFERENCE (IEEE GLOBECOM 2009) IEEE. http://www.rle.mit.edu/ncrc/wp-content/uploads/2014/01/2009_random_linear.pdf

Lucani Rötter, D. E., Medard, M., Stojanovic, M. & R. Karger, D. (2009). Sharing Information in Time-Division Duplexing Channels: A Network Coding Approach. In Communication, Control, and Computing, 2009. Allerton 2009. 47th Annual Allerton Conference on (pp. 1403-1410). IEEE. https://doi.org/10.1109/ALLERTON.2009.5394510

Lucani Rötter, D. E., Fitzek, F. H. P., Medard, M. & Stojanovic, M. (2009). Network Coding For Data Dissemination: It Is Not What You Know, But What Your Neighbors Don’t Know. In Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2009. WiOPT 2009. 7th International Symposium on (pp. 407-414). IEEE. https://doi.org/10.1109/WIOPT.2009.5291585

Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2009). Random Linear Network Coding for Time Division Duplexing: Queueing Analysis. In Information Theory, 2009. ISIT 2009. IEEE International Symposium on (pp. 1423-1427). IEEE. https://doi.org/10.1109/ISIT.2009.5205888

Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2009). Broadcasting in Time-Division Duplexing: A Random Linear Network Coding Approach. In Network Coding, Theory, and Applications, 2009. NetCod '09. Workshop on (pp. 62-67). IEEE. https://doi.org/10.1109/NETCOD.2009.5191395

Lucani Rötter, D. E., Stojanovic, M. & Medard, M. (2009). Random Linear Network Coding for Time Division Duplexing: Energy Analysis. In Communications, 2009. ICC '09. IEEE International Conference on IEEE. https://doi.org/10.1109/ICC.2009.5199387

Lucani Rötter, D. E., Stojanovic, M. & Medard, M. (2009). Random Linear Network Coding for Time Division Duplexing: When To Stop Talking And Start Listening. In INFOCOM 2009, IEEE (pp. 1800-1808). IEEE . https://doi.org/10.1109/INFCOM.2009.5062100

Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2009). On Coding for Delay - New Approaches Based on Network Coding in Networks with Large Latency. In Information Theory and Applications Workshop, 2009 (pp. 191-200). IEEE . https://doi.org/10.1109/ITA.2009.5044945

Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2008). A Lower Bound to Transmission Power for Multicast in Underwater Networks using Network Coding. In International Symposium on Information Theory and its Applications, ISITA2008 http://www.rle.mit.edu/ncrc/wp-content/uploads/2014/01/2008_lower_bound.pdf

Lucani Rötter, D. E., Stojanovic, M. & Medard, M. (2008). On the Relationship between Transmission Power and Capacity of an Underwater Acoustic Communication Channel. In OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean IEEE . https://doi.org/10.1109/OCEANSKOBE.2008.4531073

Lucani Rötter, D. E., Medard, M. & Stojanovic, M. (2007). Network coding schemes for underwater networks: the benefits of implicit acknowledgement. In WUWNET 2007 (pp. 25-32) https://doi.org/10.1145/1287812.1287819

Lucani Rötter, D. E., E. Badra, R. & M. Bianchi, C. (2007). Increasing VoIP capacity on WiFi networks through the use of the FAIR algorithm for MAC. In Vehicular Technology Conference, 2007. VTC-2007 Fall. 2007 IEEE 66th (pp. 1684-1688). IEEE . https://doi.org/10.1109/VETECF.2007.356

Lucani Rötter, D. E., Cataldo, G., Cruz, J., Villegas, G. & Wong, S. (2006). A portable ECG monitoring device with Bluetooth and Holter capabilities for telemedicine applications. In Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE (pp. 5244-5247). IEEE. https://doi.org/10.1109/IEMBS.2006.260798

Lucani Rötter, D. E., Cataldo, G., Cruz, J., Medina, E. & Villegas, G. (2004). Tele-Electrocardiógrafo Inalámbrico. In Proc. II Venezuelan Bioengineering Conference

Lucani Rötter, D. E. (2010). Network Coding for Delay Challenged Environments. https://core.ac.uk/download/pdf/4424541.pdf

Lucani Rötter, D. E., Vieira, F. & Montpetit, M.-J. (2011). Opportunities for Network Coding in Satellite Networks. SATELLITE AND SPACE COMMUNICATIONS, 21(2), 7-11. http://ssc.committees.comsoc.org/files/2015/11/sscnlv21n2.pdf

Lucani Rötter, D. E., Pedersen, M. V., Ruano, D., W. Sørensen, C., Fitzek, F. H. P., Heide, J., Geil, O., Nguyen, VU. & Reisslein, M. (2018). Fulcrum: Flexible Network Coding for Heterogeneous Devices. IEEE Access, 6, 77890-77910. Article 8554264. https://doi.org/10.1109/ACCESS.2018.2884408

Lucani Rötter, D. E., Nielsen, L., Orlandi, C., Pagnin, E. & Vestergaard, R. (2020). Secure generalized deduplication via multi-key revealing encryption. In C. Galdi & V. Kolesnikov (Eds.), Security and Cryptography for Networks (pp. 298-318). Springer. https://doi.org/10.1007/978-3-030-57990-6_15

Liu, J. & Zhang, Q. (2018). Offloading Schemes in Mobile Edge Computing for Ultra-Reliable Low Latency Communications. IEEE Access, 6, 12825-12837. https://doi.org/10.1109/ACCESS.2018.2800032

Liu, J. & Zhang, Q. (2019). Code-Partitioning Offloading Schemes in Mobile Edge Computing for Augmented Reality. In IEEE Access (Vol. 7, pp. 11222-11236). IEEE. https://doi.org/10.1109/ACCESS.2019.2891113

Liu, J. & Zhang, Q. (2019). Reliability and Latency Aware Code-Partitioning Offloading in Mobile Edge Computing. In 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 Article 8885778 IEEE. https://ieeexplore.ieee.org/abstract/document/8885778

Liu, J. & Zhang, Q. (2019). Edge Computing Enabled Mobile Augmented Reality with Imperfect Channel Knowledge. In European Wireless 2019 Conference, EW 2019 (pp. 90-95). VDE Verlag GmbH. https://www.vde-verlag.de/proceedings-en/564948016.html

Liu, J. & Zhang, Q. (2020). To Improve Service Reliability for AI-Powered Time-Critical Services Using Imperfect Transmission in MEC: An Experimental Study. IEEE Internet of Things Journal, 7(10), 9357-9371. Article 9051992. https://doi.org/10.1109/JIOT.2020.2984333

Liu, J. & Zhang, Q. (2020). Using Imperfect Transmission in MEC Offloading to Improve Service Reliability of Time-Critical Computer Vision Applications. IEEE Access, 8, 107364 - 107372. Article 9114971. https://doi.org/10.1109/ACCESS.2020.3001620

Liu, J. & Zhang, Q. (2020). Computation Resource Allocation for Heterogeneous Time-Critical IoT Services in MEC. In 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings Article 9120832 IEEE. https://doi.org/10.1109/WCNC45663.2020.9120832

Liu, J. & Zhang, Q. (2020). Adaptive Task Partitioning at Local Device or Remote Edge Server for Offloading in MEC. In 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings Article 9120484 IEEE. https://doi.org/10.1109/WCNC45663.2020.9120484

Li, L., Zhao, G., Shi, W., Chen, Z. & Zhang, Q. (2016). Autonomous relaying scheme for energy-efficient cooperative multicast communications. In 2016 IEEE Wireless Communications and Networking Conference, WCNC 2016: WCNC 2016 Article 7565083 IEEE. https://doi.org/10.1109/WCNC.2016.7565083

Li, N., Iosifidis, A. & Zhang, Q. (2022). Collaborative edge computing for distributed CNN inference acceleration using receptive field-based segmentation. Computer Networks, 214, Article 109150. https://doi.org/10.1016/j.comnet.2022.109150

Li, N., Iosifidis, A. & Zhang, Q. (2022). Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing. In ICC 2022 - IEEE International Conference on Communications (pp. 4281-4286). IEEE. https://doi.org/10.1109/ICC45855.2022.9838547

Li, N., Iosifidis, A. & Zhang, Q. (2022). Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing. In ICC 2022 - IEEE International Conference on Communications (pp. 3667-3672). IEEE. https://doi.org/10.1109/ICC45855.2022.9839083

Li, N., Iosifidis, A. & Zhang, Q. (2022). Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing. In 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (pp. 982-987). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001067

Li, H., Zhang, Q. & Kuldeep, G. (2023). Demo: 3TierView: A Three-tier Privacy-preserving Live Video Surveillance IoT System. In MobiSys '23: Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services (pp. 594–595). Association for Computing Machinery. https://doi.org/10.1145/3581791.3597289

Li, N., Iosifidis, A. & Zhang, Q. (2023). Attention-Based Feature Compression for CNN Inference Offloading in Edge Computing. In M. Zorzi, M. Tao & W. Saad (Eds.), ICC 2023 - IEEE International Conference on Communications (pp. 967-972). IEEE. https://doi.org/10.1109/ICC45041.2023.10279110

Li, N., Bennis, M., Iosifidis, A. & Zhang, Q. (Accepted/In press). Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition. In IEEE Globecom 2023 IEEE. https://arxiv.org/pdf/2305.12796.pdf

Kumar, V., Mukherjee, M., Lloret, J., Zhang, Q. & Kumari, M. (2022). Delay-optimal and Incentive-aware Computation Offloading for Reconfigurable Intelligent Surface-assisted Mobile Edge Computing. IEEE Networking Letters. Advance online publication. https://doi.org/10.1109/LNET.2022.3187720

Kuldeep, G. & Zhang, Q. (2020). Revisiting Compressive Sensing based Encryption Schemes for IoT. In 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings Article 9120785 IEEE. https://doi.org/10.1109/WCNC45663.2020.9120785

Kuldeep, G. & Zhang, Q. (2020). Energy Concealment based Compressive Sensing Encryption for Perfect Secrecy for IoT. In 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings Article 9322181 IEEE. https://doi.org/10.1109/GLOBECOM42002.2020.9322181

Kuldeep, G. & Zhang, Q. (2020). Compressive Sensing based Multi-class Privacy-preserving Cloud Computing. In 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings Article 9348093 IEEE. https://doi.org/10.1109/GLOBECOM42002.2020.9348093

Kuldeep, G. & Zhang, Q. (2021). A Novel Efficient Secure and Error-Robust Scheme for Internet of Things Using Compressive Sensing. IEEE Access, 9, 40903-40914. Article 9373354. https://doi.org/10.1109/ACCESS.2021.3064700

Kuldeep, G. & Zhang, Q. (2021). Design Prototype and Security Analysis of a Lightweight Joint Compression and Encryption Scheme for Resource-constrained IoT Devices. IEEE Internet of Things Journal, 9(1), 165-181. https://doi.org/10.1109/JIOT.2021.3098859

Kuldeep, G. & Zhang, Q. (2022). Multi-class privacy-preserving cloud computing based on compressive sensing for IoT. Journal of Information Security and Applications, 66, Article 103139. https://doi.org/10.1016/j.jisa.2022.103139

Kuldeep, G. & Zhang, Q. (2023). Lightweight electrocardiogram signal compression. Biomedical Signal Processing and Control, 85, Article 105012. https://doi.org/10.1016/j.bspc.2023.105012

Krigslund, J., Hansen, J., Lucani Rötter, D. E., H. P. Fitzek, F. & Medard, M. (2015). Network coded software defined networking: enabling 5G transmission and storage networks. IEEE Communications Magazine, 53(9), 100-107. https://doi.org/10.1109/MCOM.2015.7263352

Krigslund, J., Hansen, J., Hundebøll, M., Lucani Rötter, D. E. & Fitzek, F. H. P. (2014). Method, apparatus, and protocol for improving performance in a wireless network. (Patent No. WO2014134276 (A1) ). https://worldwide.espacenet.com/publicationDetails/biblio?DB=EPODOC&II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20140904&CC=WO&NR=2014134276A1&KC=A1

Krigslund, J., Hansen, J., Lucani Rötter, D. E., Fitzek, F. H. P. & Medard, M. (2015). Network Coded Software Defined Networking: Design and Implementation. In European Wireless 2015; 21th European Wireless Conference; Proceedings of (pp. 488-493). VDE. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7147740

Krigslund, J., Hansen, J., Pedersen, M. V., Lucani Rötter, D. E. & Fitzek, F. H. P. (2013). Performance Evaluation of Coded Meshed Networks. In Signals, Systems and Computers, 2013 Asilomar Conference on (pp. 793-787). IEEE. https://doi.org/10.1109/ACSSC.2013.6810392

Krigslund, J., Hansen, J., Hundebøll, M., Lucani Rötter, D. E. & Fitzek, F. H. P. (2013). CORE: COPE with MORE in Wireless Meshed Networks. In Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th IEEE . https://doi.org/10.1109/VTCSpring.2013.6692495

Kretsis, A., Kokkinos, P., Soumplis, P., Vegas Olmos, J. J., Fehér, M., Sipos, M. A., Lucani Rötter, D. E., Khabi, D., Masouros, D., Siozios, K., Bourgos, P., Tsekeridou, S., Zyulkyarov, F., Karanastasis, E., Chondrogiannis, E., Andronikou, V., Fernandez Gomez, A., Panica, S., Iuhasz, G. ... Varvarigos, M. (2021). SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum. In 2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021 (pp. 55-60). IEEE. https://doi.org/10.1109/MeditCom49071.2021.9647689

Kouvelas, N., Prasad, R. V., Yazdani, N. & Lucani Rötter, D. E. (2021). np-CECADA: Enhancing Ubiquitous Connectivity of LoRa Networks. In Proceedings - 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2021 (pp. 374-382). IEEE. https://doi.org/10.1109/MASS52906.2021.00054

Displaying results 201 to 250 out of 351

Revised 10.08.2023

Daniel Enrique Lucani Rötter