C-BRAIN-2018-2019-2: Unified Communications and Contextualization in IoT (thesis proposal rehearsal)
Event
- Title:
- C-BRAIN-2018-2019-2: Unified Communications and Contextualization in IoT (thesis proposal rehearsal)
- When:
- Tue, 2. October 2018
- Where:
- ,
- Category:
- COPELABS Events
- Hits:
- 14195
Description
Presenter: Daniel Maniglia Silva, NEMPS PhD Student, Jr researcher
TITLE: Unified Communications and Contextualization in IoT (thesis proposal rehearsal)
ABSTRACT:
The generic IoT definition concerns “a global infrastructure for the
information society, enabling services by interconnecting (physical and
virtual) things based on existing and evolving interoperable information
and communication technologies”. Nevertheless, today IoT still concerns
the network of everyday objects that can collect and transmit data via a
network, often the internet. One of the major limitations to the evolution
of the concept is the fact that the transmission over IoT is not trivial, due
not only to a large number of devices, as well as due to the heterogeneity
of hardware and software involved. Hence, the natural evolution of IoT
requires an adequate interconnection of three different aspects: i) smart
cyber-physical systems; ii) contextualization derived from data analytics
and predictive analysis; iii) smart connectivity. By smart connectivity
it is meant that the notion of connectivity does not imply that devices
need to be always connected to the internet. For instance, specific sets
of devices can connect opportunistically, derived from local connectivity
opportunities, not necessarily implying internet connectivity.
The notion of unified communications is therefore a key point in IoT.
Today, it is still being worked mostly from a TCP/IP perspective where
overlay models and protocols assist, via brokers, in delivering information
across heterogeneous environments.
Another trend being explored concerns information Centric Network-
ing. Here, the intention is that the end-points of the communication get
access to named content without direct mapping to transport sessions at
the origin.
Therefore, there is yet no standardized nor unified Information Com-
munication Technology (ICT) model, capable of sustaining not only mil-
lions of heterogeneous devices, as well as: bi-directional communication
towards people and devices.
Despite the complexity derived from such heterogeneity and the lack
of a unified communication system, there are aspects that can be worked
upon. One of such aspects is to take into consideration, at a network
1level, context that surrounds users and that can assist in better defining
opportunities for data transmission over time, and space, i.e., contextual
awareness at the network layers. Such opportunities may be better ad-
dressed, for instance, if routing metrics take into consideration levels of
contextual awareness derived from usage (applications) as well as from
the neighborhood (network).
Such contextual awareness can assist in better distribution of caching;
more relevant naming aggregation, as well as in a more efficient data
transmission in the context of large-scale scenarios.
This thesis proposal is expected to be focused in such aspects, namely:
how can contextualization be used to assist and acelerate de understanding
of alternative unified communication models for IoT.
Highlights
News
09.2024. Serras-Santos, R., Fachada, N., Matos-Carvalho, J.P., Tomic, S. & Beko, M. AutoNAV: A Python package for simulating UAV navigation in satellite-less environments. SoftwareX, 27. 101782. https://doi.org/10.1016/j.softx.2024.101782
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01.2024. Inácio, J., Fachada, N., Matos-Carvalho, J.P. & Fernandes, C.M. (2024). Humans vs AI: An Exploratory Study with Online and Offline Learners. Videogame Sciences and Arts, VJ 2023, CCIS, vol 1984 (pp. 272-286). Springer Nature. https://doi.org/10.1007/978-3-031-51452-4_19
01.2024. Chathuranga Basnayaka, Dushantha Nalin K. Jayakody, Tharindu Dilshan Ponnimbaduge Perera, Marko Beko, "DataAge: Age of Information in SWIPT-Driven Short Packet IoT Wireless Communications", IEEE Internet of Things. https://doi.org/10.36227/techrxiv.171441631.16807383/v1.
12.2023. Fachada, N., Barreiros, F.F., Lopes, P. & Fonseca, M. (2023). Active Learning Prototypes for Teaching Game AI. 2023 IEEE Conference on Games (CoG), Boston, USA. https://doi.org/10.1109/CoG57401.2023.10333229.
12.2023. Ferreira-Saraiva, B.D., Matos-Carvalho, J.P., Fachada, N. & Pita, M. (2023). ParShift: a Python package to study order and differentiation in group conversations. SoftwareX, 24. 101554. https://doi.org/10.1016/j.softx.2023.101554
11.2023. A. Gunasekar, L. B. Kumar, P. Krishnan, R. Natarajan and D. N. K. Jayakody, "All-Optical UAV-Based Triple-Hop FSO-FSO-VLC Cooperative System for High-Speed Broadband Internet Access in High-Speed Trains," in IEEE Access, vol. 11, pp. 124228-124239, 2023, https://doi.org/10.1109/ACCESS.2023.3330236.
11.2023. S. Sabapathy, J. S. Prabhu, S. Maruthu and D. N. K. Jayakody, "Profuse Channel Estimation and Signal Detection Techniques for Orthogonal Time Frequency Space in 6G Epoch: A Survey," in IEEE Access, vol. 11, pp. 129963-129993, 2023, https://doi.org/10.1109/ACCESS.2023.3333428
10.2023. A. Pushparaj, D. N. K. Jayakody, R D S Arunapriya, M. Nathan, (2023) "An intelligent age of information based self‐energized UAV‐assisted wireless communication system, IET Communications, https://doi.org/10.1049/cmu2.12679.
10.2023. S. Tomic and M. Beko, "A Min-max Optimization-based Approach for Secure Localization in Wireless Networks", to appear in IEEE Transactions on Vehicular Technology, vol. X, no. Y, pp. 1--1, doi:10.1109/TVT.2023.3325063
09.2023. Fachada, N. & de Andrade, D. (2023). Generating multidimensional clusters with support lines. Knowledge-Based Systems, 277, 110836. https://doi.org/10.1016/j.knosys.2023.110836
08.2023. Furqan Ali, M., Jayakody, D. (2023) SIMO-Underwater Visible Light Communication (UVLC) system. Computer Networks.
https://doi.org/10.1016/j.comnet.2023.109750
06.2023. Rajaram, A., Guerreiro, J., Dinis, R., Jayakody, D., Beko, M. (2023) Optimum Performance Analysis and Receiver Design for OFDM based Frequency-Splitting SWIPT with Strong Nonlinear Effects. IEEE Internet of Things Journal.
doi: 10.1109/JIOT.2023.3284350
08.2023. Wang, Y., Obaidat, M., Yin, Y., Wang, L., Rodrigues, J., Sadoun, B. (2023) Robust Sparse Direct Localization of Smart Vehicle With Partly Calibrated Time Modulated Arrays. IEEE Transactions on Intelligent Transportation Systems.
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06.2023. Mikovic, A. & Vojinovic, M. (2023) State-Sum Models of Piecewise Linear Quantum Gravity, https://doi.org/10.1142/13233
05.2023. Fachada, N., de Andrade, D., Serra, P., Códices, N., Luz, F., Lopes, P., Fonseca, M. & Neves, P. (2023). Improving the CS Curriculum of a Top-Down Videogames BA. In Proc. of the 11th Computer Science Education Research Conference, CSERC '22 (pp. 62-63), Leiden, Netherlands. ACM. https://doi.org/10.1145/3569173.3569183
04.2023. Petukhova, A. & Fachada, N. (2023). MN-DS: A Multilabeled News Dataset for News Article Hierarchical Classification. Data, 8(5), 74. https://doi.org/10.3390/data8050074
04.2023. de Andrade, D. & Fachada, N. (2023). Automated Generation of Map Pieces for Snappable Meshes. In Proceedings of the 18th International Conference on the Foundations of Digital Games, FDG '23 (pp. 2:1-2:10), Lisbon, Portugal. https://doi.org/10.1145/3582437.3582483
03.2023. dos Santos, R.P., Fachada, N., Beko, M. & Leithardt, V.R.Q. (2023). A Rapid Review on the Use of Free and Open Source Technologies and Software Applied to Precision Agriculture Practices. Journal of Sensor and Actuator Networks, 12(3), 28. https://doi.org/10.3390/jsan12020028
01.2023. Ferreira, D. J., Mateus-Coelho, N. & Mamede, H. S. (2023). Methodology for Predictive Cyber Security Risk Assessment (PCSRA). Procedia Computer Science, 219, 1555-1563. https://doi.org/10.1016/j.procs.2023.01.447
11.2022. Ramos, G., Silvestre D., A. & Aguiar, A. P. (2022). A resilient continuous-time consensus method using a switching topology. Systems & Control Letters, 169, 105381. https://doi.org/10.1016/j.sysconle.2022.105381
11.2022. Figueiredo, E., Moldovan, I., Alves, P., Rebelo, H. & Souza, L. (2022). Smartphone Application for Structural Health Monitoring of Bridges. Sensors, 2022, 22(21), 8483. https://doi.org/10.3390/s22218483
10.2022. Lima, B., Fachada, N., Dinis, R., da Costa, D.B. & Beko, M. (2022). uavnoma: a UAV-NOMA network model under non-ideal conditions. Journal of Open Research Software, 10(1), 9. https://doi.org/10.5334/jors.397
09.2022. Saraiva, M., Mateus-Coelho, N. (2022). CyberSoc Framework a Systematic Review of the State-of-Art. Procedia Computer Science, 204, 961-972. https://doi.org/10.1016/j.procs.2022.08.117
07.2022. Fachada, N., e Silva, R.C., de Andrade, D. & Códices, N. (2022). Unity Snappable Meshes. Software Impacts, 13, 100363. https://doi.org/10.1016/j.simpa.2022.100363
06.2022. Petukhova, A. & Fachada, N. (2022). TextCL: a Python package for NLP preprocessing tasks. SoftwareX, 19. 101122. https://doi.org/10.1016/j.softx.2022.101122
06.2022. A. Sharma, V. Sharma, M. Jaiswal, Hwang-Cheng Wang, Dushantha Nalin Jayakody*, C. Basnayaka, A. Muthanna. (2022). "Recent Trends in AI-based Intelligent Sensing", Electronics 2022, 11, 1661. https://doi.org/10.3390/electronics11101661
05.2022. M. F. Ali, Dushantha Nalin K. Jayakody, S. Garg, G. Kaddoum, and M. Shamim Hossain. (2022). "Dual-Hop Mixed FSO-VLC Underwater WirelessCommunication Link, IEEE Transactions on Network and Service Management, June 2022, https://doi.org/10.1109/TNSM.2022.3181169
05.2022 Petukhova, A. & Fachada, N. (2022). Retail System Scenario Modeling Using Fuzzy Cognitive Maps. Information, 13(5), 251. https://doi.org/10.3390/info13050251
05.2022. Magaia, N., Ferreira, P., Pereira, P. R., Muhammad, K., Del Ser, J., & de Albuquerque, V. H. C. (2022). Group'n Route: An Edge Learning-based Clustering and Efficient Routing Scheme Leveraging Social Strength for the Internet of Vehicles. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2022.3171978
04.2022. Fachada, N. (2022). A computational pipeline for modeling and predicting wildfire behavior. In Proceedings of the 7th International Conference on Complexity, Future Information Systems and Risk, COMPLEXIS 2022 (pp. 79-84), Virtual Event. SciTePress/INSTICC. DOI: https://doi.org/10.5220/0011073900003197
04.2022. Hu, Q., Gois, F. N. B., Costa, R., Zhang, L., Yin, L., Magaia, N., & de Albuquerque, V. H. C. (2022). Explainable artificial intelligence-based edge fuzzy images for COVID-19 detection and identification. Applied Soft Computing, 108966. https://doi.org/10.1016/j.asoc.2022.108966
04.2022. Cipriano, B.P., Fachada, N. & Alves, P. (2022). Drop Project: An automatic assessment tool for programming assignments. SoftwareX, 18. 101079. https://doi.org/10.1016/j.softx.2022.101079
04.2022. e Silva, R. C., Fachada, N., de Andrade, D., & Códices, N. (2022). Procedural Generation of 3D Maps with Snappable Meshes. IEEE Access, 10. https://doi.org/10.1109/ACCESS.2022.3168832
02.2022. Fachada, V., Rahkila, P., Fachada, N., Turpeinen, T., Kujala, U. & Kainulainen, H. (2022). Enlarged PLIN5-uncoated lipid droplets in inner regions of skeletal muscle type II fibers associate with type 2 diabetes. Acta Histochemica, 124(3), 100014. https://doi.org/10.1016/j.acthis.2022.151869
01.2022. Accepted paper, S. Tomić, M. Beko (2022). Detecting Distance-spoofing Attacks in Arbitrarily-deployed Wireless Networks, IEEE Transactions on Vehicular Technology, DOI: 10.1109/TVT.2022.3148199
01.2022. Fernandes, P.A., Inácio, P.A., Feliciano, H. & Fachada, N. (2022). SimpAI: Evolutionary Heuristics for the ColorShapeLinks Board Game Competition. Videogame Sciences and Arts, VJ 2020, Revised Selected Papers. CCIS, vol 1531 (pp. 113-126). Springer Nature. https://doi.org/10.1007/978-3-030-95305-8_9
01.2022. Valderi R.Q. Leithardt, et al., 2022. "An Empirical Comparison of Portuguese and Multilingual BERT Models for Auto-Classification of NCM Codes in International Trade" Big Data and Cognitive Computing 6, no. 1: 8. https://doi.org/10.3390/bdcc6010008 - Quartil SJR: Q1
01.2022. Valderi R.Q. Leithardt, et al., 2022. "Towards ubiquitous requirements engineering through recommendations based on context histories." PeerJ Computer Science 8:e794 https://doi.org/10.7717/peerj-cs.794 Quartil SJR: Q2
12.2021. Valderi R.Q. Leithardt, et al., 2021. "Application of Machine Learning Techniques to Predict a Patient’s No-Show in the Healthcare Sector" Future Internet 14, no. 1: 3. https://doi.org/10.3390/fi14010003 Quartil SJR: Q2
12.2021. Accepted paper, M. Beko, S. Tomić, Toward Secure Localization in Randomly Deployed Wireless Networks, IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2021.3078216
11.2021. de Andrade, D. & Fachada, N. (2021). PyXYZ: an educational 3D wireframe engine in Python. In Proceedings of the 26th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE '21 (pp. 519-525), Virtual Event, Germany. https://doi.org/10.1145/3430665.3456345
11.2021. Daniel Silvestre (2021). Constrained Convex Generators: A Tool Suitable for Set-Based Estimation With Range and Bearing Measurements . In:
IEEE Control Systems Letters 6, pp. 1610 1615. doi: 10.1109/LCSYS.2021.3129729
11.2021. Accepted paper, G. Asaamoning, P Mendes, and N. Magaia. .A Dynamic Clustering Mechanism with Load-Balancing for Flying Ad Hoc Networks, IEEE Access, DOI: 10.1109/ACCESS.2021.3130417
09.2021. Accepted paper, F Neves, AC Finamore, SC Madeira, R Henriques. (2021).Mining Actionable Patterns of Road Mobility From Heterogeneous Traffic Data Using Biclustering, IEEE Transactions on Intelligent Transportation Systems, https://ieeexplore.ieee.org/iel7/6979/4358928/09357483.pdf
07.2021. Accepted paper: S. Tomic, M. Beko, “A New Perspective on Range and Directional Localization Problem’’, to appear in IEEE Open Journal of Vehicular Technology, https://doi.org/10.1109/OJVT.2021.3094180
06.2021. Fachada, N. (2021). ColorShapeLinks: A Board Game AI Competition Framework for Educators and Students. Computers & Education: Artificial Intelligence, 2. 100014. https://doi.org/10.1016/j.caeai.2021.100014
06.2021. Accepted paper: Rodrigo Cortesão, Daniel Fernandes, Gabriela Soares, Diogo Clemente, Pedro Sebastião and Lúcio S. Ferreira, "Cloud-based Implementation of a SON Radio Resources Planning System for Mobile Networks and Integration in SaaS Metric", to appear in IEEE Access 10.1109/ACCESS.2021.3087398
05.2021. Tiago Simas and Rion Brattig Correia and Luis M. Rocha, "The distance backbone of complex networks", Journal of Complex Networks, Oxford University Press,
https://doi.org/10.1093/comnet/cnab021
03.2021. Accepted paper: FG Encinas, LA Silva, AS Mendes, GV González, VRQ Leithardt, ..., "Singular Spectrum Analysis for Source Separation in Drone-Based Audio Recording" In IEEE Access.https://doi.org/10.
02.2021. Accepted Paper, M. S. Stankovic, M. Beko, S. S. Stankovic, “Distributed Value Function Approximation for Collaborative Multi-Agent Reinforcement Learning’’, in IEEE Transactions on Control of Network Systems, https://doi.org/10.1109/TCNS.2021.3061909
11.2020. Accepted Paper, B. Lima, D. Costa, et.al "Adaptive Power Factor Allocation for Cooperative Full-Duplex NOMA Systems With Imperfect SIC and Rate Fairness", in IEEE Transactions on Vehicular technology, https://doi.org/10.1109/TVT.2020.3029791
11.2020. Accepted Paper, IEEE Open Journal of the Communications Society, M. Barahman, L. Correia, L. S. Ferreira, "A QoS-Demand-Aware Computing Resource Management Scheme in Cloud-RAN", in IEEE OJ-COMS. https://doi.org/10.1109/OJCOMS.2020.3034297
10.2020. Accepted Paper, IEEE Access, Daniel Silva, Rute Sofia. "A Discussion on Context-awareness to Better Support the IoT Cloud/Edge Continuum", in IEEE Access. DOI 10.1109/ACCESS.2020.3032388.
09.2020. Accepted paper, Electronics, Sales Mendes, André, Diego M. Jiménez-Bravo, María Navarro-Cáceres, Valderi Reis Quietinho Leithardt, and Gabriel Villarrubia González. "Multi-Agent Approach Using LoRaWAN Devices: An Airport Case Study." Electronics 9, no. 9 (2020): 1430.
https://doi.org/10.3390/electronics9091430
08.2020. Accepted paper, IEEE Access, J. C. S. Anjos and Valderi Leithardt et al., "Data Processing Model to Perform Big Data Analytics in Hybrid Infrastructures," in IEEE Access, doi: 10.1109/ACCESS.2020.3023344.
07.2020. Accepted Paper, IEEE Access, Fernandes,D., Raimundo,A., Cercas,F., Sebastiao,P., Rinis,R., Ferreira,L.S.. "Comparison of Artificial Intelligence and Semi-Empirical Methodologies for Estimation of Coverage in Mobile Networks", in IEEE Access, Vol. 8, July 2020, pp 139803-139812, 10.1109/ACCESS.2020.3013036
04.2020. Accepted Paper, IEEE Access , Fernandes,D., Clemente,D., Soares,G., Sebastiao,P., Cercas,F., Dinis,R, Ferreira,L.S., “Cloud-Based Implementation of an Automatic Coverage Estimation Methodology for Self-Organising Network”, in IEEE Access, Vol 8, Apr. 2020, pp 66456-66474, 10.1109/ACCESS.2020.2986437
01.2020. The most recently hired researcher Nuno Ricardo Garcia had a paper accepted in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). TPAMI is the journal with the highest impact factor in the area of computer science (IF=17.73 for 2018). Congratulations.
11.2019. Accepted Paper, IEEE Transactions on Vehicular Technology,
S. Tomic, M. Beko, “A Geometric Approach for Distributed Multi-hop Target Localization in Cooperative Networks’’, to appear in IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/TVT.2019.2952715
07.2019: Accepted Paper, IEEE Transactions on Antennas and Propagation,
K Turbic, L. Correia, M. Beko. A Channel Model for Polarised Off-Body Communications with Dynamic Users’’, IEEE Transactions on Antennas and Propagation, vol. 67, no. 11, pp. 7001-7013, November 2019. https://doi.org/10.1109/TAP.2019.2925157
06.2019: Accepted Paper, IEEE Access
D. Pedro, S. Tomic, L. Bernardo, M. Beko, P. Pinto, “Algorithms for Estimating the Location of Remote Nodes using Smartphones’’, IEEE Access, vol. 7, pp. 33713-33727, December 2019. https://doi.org/10.1109/ACCESS.2019.2904241
05.2019: Accepted Paper, MDPI Future Internet, Special Issue on Information-centric Networking
R. C. Sofia, Guidelines Towards Information-driven Mobility Management, Future Internet 2019, 11(5), 111; https://doi.org/10.3390/fi11050111
04.2019: Accepted Paper, MDPI Future Internet, Special Issue on Information-centric Networking
R. C. Sofia, P. Mendes, An Overview on Push-Based Communication Models for Information-centric Networking. MDPI Future Internet, 2019, 11(3), 74; https://doi.org/10.3390/fi11030074.
03.2019: Accepted Paper, European Control Conference 2019
Model-based fault diagnosis and tolerant control: the ESA’s e.Deorbit mission
03.2019: Accepted paper, MDPI Future Internet 2019, Special issue on ICN
An Overview on Push-based Communication Models for Information-Centric Networking
02.2019: New IRTF ICNRG draft
. nformation-centric Routing for Opportunistic Wireless Networks.
01.2019: Accepted paper, Sensors 2019, Special Issue on Wireless Location Tracking
On Consensus-based Distribution Blind Calibration of Sensor Networks
11.2018: Rute C. Sofia becomes Associate Editor of IEEE Access
11.2018: Accepted paper MDPI Sensors 2018, Special Issue on Wireless Location Tracking
Elephant Herding Optimization for Energy-Based Localization
11.2018: Accepted paper Sensors 2018, Special Issue on Wireless Location Tracking
Target Localization via Integrated and Segregated Ranging Based on RSS and TOA Measurements
11.2018: Results of the CEEC/COPELABS/JUNIOR2018: Prof. Dr. Pedro Sá Costa admitted.
10.2018: Rute C. Sofia becomes an IEEE Senior member
10.2018: Invited Talk: Cooperative wireless networking: Research challenges, P. Mendes, @LakesideLabs, University of Klagenfurt, Austria
09.2018: Accepted paper, ACM ICN 2018
P. Mendes, R. Sofia, V. Tsaoussidis, S. Diamantopoulos, J. Soares,Information-centric routing for opportunistic wireless networks. InProc. ACM ICN 2018, Sep. 2018.
09:2018: Accepted paper, IEEE WiMob
09.2018:C-BRAINs 2018/2019
C-BRAINS for 2018/2019 are out!
07.2018: Ciencia 2018
People-to-people Communication in Emergency Scenarios, P. Mendes, R. Sofia, M. Tavares, O. Aponte
06.2018: UMOBILE project
POC2 - information-centric communication in opportunistic scenarios, P. Mendes, M. Tavares, O. Aponte, R. Sofia, J. Soares
05.2018
04.2018 Accepted Book Chapter
03.2018 IRTF draft DABBER
Information-centric Routing for Opportunistic Wireless Networks
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