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IoT Lab Experimental Project (Sep 2018 - Jul 2019)

Cognitive and User-centric Networking Area

TEAM:

  • Rute C. Sofia (PI)
  • Liliana I. Carvalho, NEMPS PhD Student/Jr Researcher
  • Daniel Maniglia Silva, NEMPS PhD Student/Jr Researcher
  • Helder Valente, NEMPS PhD Student
  • F. Melo Pereira, PhD Student
  • Godwin Asamooning, PhD Student
  • Hector Orrillo, PhD Student
  • José Soares, MSc Student ULisboa
  • José Ardions, MSc Student Universidade Lusófona
  • André Vaz, MSc Student Universidade Lusófona
  • Roberto Jr, MSc Student Universidade Lusófona
  • Rogério Costa, MSc Student Universidade Lusófona

Description

 The IoT Lab is an operational team of COPELABS that works on networking architectures and communication protocols for multiple IoT environments, e.g., personal IoT and industrial IoT. A few aspects being worked upon concern protocolar transmission and unified abstraction models for edge computing, as well as the relevancy of novel communication models (e.g., ICN) for IoT.

Internet of Things (IoT) communication architectures and protocols are evolving to be able to cope with new challenges such as the processing of large amounts of data; filtering; data mining and classification; high heterogeneity in devices and software.

Today, IoT communication is supported by TCP/IP which were not designed having in mind time sensitive networks or low power networks. Energy is wasted each time data is transmitted, due to protocol overhead, and non-optimized communication patterns.
The most recent trend on communication protocols follow a publish/subscriber broker approach, which creates an abstraction between things that produce information, and people or devices that consume such information. Nevertheless, issues concerning mobility management, privacy, security, and resource consumption subsist mostly tied to the networking semantics of IP, which follow a host-based reachability approach.
The new architectural paradigm of ICN focuses on providing support to directly reach information objects, while in contrast today’s Internet is focused on reaching devices that store information objects. The design of ICN paradigms seem to bring in relevant features to IoT environments. ICN approaches such as NDN have integrated security support; reliable multi-path data-based routing;  built-in mobility support such as an interface abstraction, which is relevant for multihoming. Being information-centric, ICN does not transmit data based on host identifiers, such as addresses.

The evolutionary trend and interoperability aspects of publish/subscriber approaches as well as of network architectures and protocols in general are being exploited by the COPELABS IoT Lab team.

 

Deliverables, Presentations, Publications

 Sofia, Rute C.; Mendes, Paulo. An Overview on Push-based Communication Models for Information-Centric Networking. 2019

- D. Silva, FIT IoT Experiment – work developed in the context of the “Pervasive Communication Systems Course”, second semeste. 2018

- R. C. Sofia, an Overview of the COPELABS IoT Lab

 

 

 

 

 

Highlights

News

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/10.1109/ACCESS.2021.3065775 

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

Henry, D.; Cieslak, J.; Colmenarejo, P.; Branco, J.; Santos, N.; Serra, P.; Telaard, J.; Strauch, H.; Giordano, A. M.; De Stefano, M.; Ott, C.; Reiner, M.; Jaworski, J.; Papadopoulos, E.; Visentin, G.; Ankersen, F.; Fernandez, J.G.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

Sofia, Rute C.; Mendes, Paulo. An Overview on Push-based Communication Models for Information-Centric Networking

02.2019: New IRTF ICNRG draft

Mendes, Paulo; Sofia, Rute C.; Tsaoussidis, Vassilis; Diamantopoulos, Sotiris; Borrego, Carlos; Borrel, Joan; Sarros, Christos-Alessandros. nformation-centric Routing for Opportunistic Wireless Networks.

01.2019: Accepted paper, Sensors 2019, Special Issue on Wireless Location Tracking

Stankovic, S. S.; Stankovic, Milos; Johansson, Karl H.; Beko, Marko. 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

Correia, Sergio; Beko, Marko; Cruz, Luis A. da Silva; Tomic, Slavisa. Elephant Herding Optimization for Energy-Based Localization

11.2018: Accepted paper Sensors 2018, Special Issue on Wireless Location Tracking

Tomic, Slavisa; Beko, Marko. 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

G. Asaamoning, P. Mendes, A Study for a Name-based Coordination of Autonomic IoT Functions. inProc. IEEE WiMob/MobiEdge 2018, Sep. 2018.

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

UMOBILE Demo in Italy, Umbria

04.2018 Accepted Book Chapter

 Rute C. Sofia, Liliana I. Carvalho., Francisco de Melo Pereira, Samrat Dattagupta.The Role of Smart Data in Inference of Human Behavior and Interaction. Book chapter. "Smart Data: State-of-the-Art and Perspectives in Computing and Applications".

03.2018 IRTF draft DABBER

Information-centric Routing for Opportunistic Wireless Networks

 

 

 

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