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Grupo de Pesquisa em Redes de
Computadores
DCC/UFMG
José Marcos Silva Nogueira Workshop de Telecom
Unicamp, Campinas, 2015
Universidade Federal de Minas Gerais -‐ UFMG
Universidade Federal de Minas Gerais -‐ UFMG
Founded in 1927 ~2,700 lecturers (~2,300 PhDs) 20 Schools (Faculties) Agricultural; Applied Social; Biological; Engineering; Exact and Earth Sciences; Health; Humanities; and Linguistics, Letters and Arts Three Campi Belo Horizonte (2) and Montes Claros (1) Research, Development and Innovation (P,D&I) in 2010 Research groups: 804 National patents: 369 International patents: 108 Licensed technologies: 46
Belo Horizonte
l Established in 1976 l Faculty: 65 l VisiUng researchers: 5 l AdministraUve staff: 30 l Technical staff: 38 l Teaching Assistants: 40 l Undergrad interns: 40 l Graduate students: 200 l Undergraduate students: 600 l Other undergraduates: 1,500
The Computer Science Department – DCC
Graduate Program in
Computer Science
MSc (created in 1974): • 137 students currently enrolled • 973 MSc graduates
PhD (created in 1990): • 87 students currently enrolled • 150 PhD graduates Over 1.100 dissertations and thesis produced
CAPES 7
Awards
• Brazilian Academy of Sciences o 3 permanent members o 3 affiliated members (5-year term)
• National Scientific Merit Award o 3 awards
• CAPES National PhD Dissertation
o Main awards for the past 5 consecutive years, including two first places
Spin-‐offs and Alumni Related Companies
The WINET laboratory
Wireless Networks
WINET – Wireless Networks
• Faculty: 5 professors • PhD students: 6 • Masters students: 8 • Undergrads: 15
• Web page: h`p://www.winet.dcc.ufmg.br
Lead invesUgator Prof. José Marcos S. Nogueira
• Full Professor • PhD in Electrical Engineering (UNICAMP)
• CNPq scholar level 1C • Main research interests
– Computer networks – Network management – WSN – IoT – Mobile compuUng
Prof. Daniel F. Macedo
• Assistant Professor • PhD in Computer Science (UPMC, France)
• CNPq scholar level 2 • Main research interests
– Wireless communicaUon – Mobile networks – Network management
Prof. Ítalo F. S. Cunha
• Assistant Professor • PhD in Computer Science (UPMC, France)
• Main research interests – RouUng – Network topology mapping and performance monitoring
– Live streaming
Prof. Luiz Filipe M. Vieira
• Assistant Professor • PhD in Computer Science (UCLA)
• CNPq scholar level 2 • Main research interests
– Wireless Sensor Networks
– Underwater communicaUon
– SDN
Prof. Marcos Augusto M. Vieira
• Assistant Professor • PhD in Computer Science
(USC) • CNPq scholar level 2 • Main research interests
– Wireless Sensor Networks – Wireless Networks – Sofware Defined Networking
– Sofware Defined Radio
Cooperações Internacionais
• Projeto Capes Cofecub no. 2012-‐2014 (MMAPS -‐ Gerenciamento, Mobilidade, Arquitetura, Protocolos e Segurança na Internet do Futuro e das Coisas) UFMG -‐ coordenação, UFPR e UFRGS) e (INRIA Nancy -‐ coordenação, LIGM -‐ Univ Paris Est e IRIT Toulouse).
• GAP-‐IFC – Gerenciamento, Arquitetura e Protocolos na Internet do Futuro e das Coisas -‐ Cooperação MulUlateral FAPs/INRIA/CNRS Apoio a Projetos de Pesquisa Cienlfica e Tecnológica -‐ vigrnte.
• Projeto: WINDS: Systems for Mobile Cloud CompuUng -‐ France: Laboratoire d'InformaUque de Paris VI (UMR 7606), Brazil: UFMG FAPEMIG CNRS INRIA Vigente.
• FUTEBOL?
Research interests in WINET
SDN for Wireless
• A new set of problems: – User mobility – Variable link quality – Context awareness
• Widespread use (home networks, etc) – No expert administrators: should just work – RF coexistence with other networks
Ethanol: SDN for WiFi
• Extensions for the control of WiFi APs
• No changes on the user terminals
• Interfaces for mobility management, virtualizaUon, host diagnosUcs and informaUon
Ethanol: implementaUon
• Runs on PCs and APs using embedded Linux (OpenWRT)
• Future work – Extensions for mesh networks
– Control protocols for network TroubleshooUng
Manageable SDR
• SDN today focuses on the network layer
• What if SDN controlled the MAC/PHY layers?
• What are the most suitable commands/events/acUons to program the MAC/PHY layers?
Manageable SDR – Ongoing work
• More computaUonal power on the terminal – More refined predicUon of channel quality – MulU-‐protocol radios (e.g. WiFi+Bluetooth+ZigBee)
– Dynamic adaptaUon of the MAC protocol (e.g. TDMA versus CSMA)
• Projeto exemplo: WIRELESS NETWORK RECONFIGURATION USING SIGNAL ESTIMATORS
Mobile networking
• Coopera'on: how to ensure that users donate their resources on opportunisUc/parUcipatory networks?
• IncenUve mechanisms • GamificaUon • Projeto exemplo: Um Arcabouço de Decisão Mul'-‐Critérios para Descarga de Dados Oportunís'ca em Redes Móveis
Mobile networking
• Security: – How to ensure that informaUon coming from users is reliable?
• ReputaUon schemes • User trust (social networking)
– How to verify that a distributed code is secure? – Projeto exemplo: Redes Sociais Para Cer'ficação em Redes Veiculares Tolerantes a Interrupções
Mobile networking
• Management: is it possible to manage a mobile and opportunisUc network? – Can we ensure QoS levels for criUcal applicaUons (e.g. collision avoidance)
– Monitoring without constant probing (e.g. Bundle-‐based management)
• Projeto exemplo: Gerenciamento de Redes Veiculares Tolerantes a Atrasos e Desconexões
Mobile networking
• Performance: – IntegraUon of mobile devices and the cloud (offloading)
– Measurement and evaluaUon of protocols
• Projeto exemplo: Building a Mobile ComputaUonal Offloading framework in Android
Sensor Networks
HydroNode • Monitoring of rivers • Development of node and
algorithms
Sensor Networks Morelit -‐ Monitoração Remota de Linhas de Transmissão
• Monitoring of transmission lines • CooperaUon with industry Fig. 9. MorelitWeb: Panel showing the collected data on a structure.
Fig. 10. Internal view of the components. Fig. 11. Prototype installed on a TL. Fig. 12. On-site testing of the firstprototype.
components. Next, Figure 11 presents the node installed on anon-energized TL. Finally, the node is shown on the ground,in order to give a better notion of its size. On this phase of thetesting we focused on the collection of small one shot requests(no images). All the requests are responded within one or twoseconds.
Next, we will install a larger Morelit prototype in anenergized power line. This network will operate for a longerperiod, in the order of months, and will be available to theutility’s TL operations team. The main objective of this testis to verify the operation of the system as a whole on longstretches of time.
V. CONCLUSIONS AND FUTURE WORK
This paper presented the design and development of a RTMsystem for electric transmission lines. The real-time monitoringof various physical values, and the possibility of acting on thesystem, is currently a pressing need for generation, transmis-sion and distribution of electricity. Using real-time monitoring,the electric utilities can identify blackouts, brownouts andcritical events more quickly, reducing the cost of maintenanceand operation of TLs and increasing their reliability. Further,engineers of the partner electric company (CEMIG) are veryenthusiastic on the applicability and usefulness of the proposedsystem.
This kind of project faces important challenges of differentnature, including electromagnetic compatibility, operation inhostile external environments, which are prone to dust, wind,high temperatures for long periods of time, difficulties in themaintenance and replacement of equipment, secure communi-cation and the physical security of the equipment.
The installation of RTM systems, in turn, creates newopportunities for analysis and correlation of data, which can behandled in future projects. Pattern extraction and data miningcould be used to find patterns that indicate impending failures,
or to generate models that anticipate the occurrence of faults inthe TL. Furthermore, the aggregation of multiple sensor dataand its analysis in the sensor node, rather than an a posteriorianalysis in the operation center, can reduce the amount ofdata exchanged in the monitoring system, further increasingthe lifetime of the monitoring network.
ACKNOWLEDGEMENTS
This project has been financed by the annual P&D CEMIGD - ANEEL project call, grant numbers CRD 305/2009 andCRCA 041/2009.
REFERENCES
[1] Setor Eletrico, “Portal brasil,” http://www.brasil.gov.br/sobre/economia/energia/setor-eletrico/distribuicao, 2013, Accessed on March, 2014,.
[2] CEMIG, “CEMIG,” http://cemig.infoinvest.com.br/static/ptb/quemsomos.asp?idioma=ptb, 2013, Accessed on March, 2014.
[3] Q. Wang, M. Zhong, and Y. Liu, “Remote Monitoring and Intelligent Di-agnosis for Power Transmission Lines,” in 4th International Conferenceon Control and Automation (ICCA ’03), 2003, pp. 590–594.
[4] C. A. M. Nascimento, A. C. Castro, A. S. Paulino, H. M. Matoso,M. D. G. Junior, S. L. S. Mariano, M. Ferber, G. A. C. Franca,and J. A. Vasconcelos, “Controle e Monitoramento de Temperatura deCondutores em Linhas Aereas de Alta Tensao,” in Congresso Brasileirode Automatica (CBA 2008), 2008, pp. 1–6.
[5] C. zai Jing, J. Liu, and J. min Liu, “Research on wireless sensornetwork of power transmission monitoring,” in IEEE 13th InternationalConference on Communication Technology (ICCT’ 11), 2011, pp. 627–630.
[6] CIGRE-Brasil, “CIGRE-Brasil,” http://www.cigre.org.br/zpublisher/secoes/home.asp, 2013, Accessed on March, 2014.
[7] Smart Grid News, “Smart Grid News,” http://smartgridnews.com.br/workshop-sobre-tecnologias-para-monitoramento-de-linhas-de-transmissao-cpqd/,2013, Accessed on March, 2014.
[8] Nexans, “Nexans,” http://www.nexans.com.br, 2013, Accessed on March,2014.
[9] Ampacimon, “Ampacimon,” http://www.ampacimon.com, 2013, Ac-cessed on March, 2014.
Internet of Things – Plaworms
• Users will mostly rely on “Apps” to control their Things
• Ongoing research – InformaUon leakage among
Apps – Controlling access and
avoiding conflicUng configuraUons among Apps
IFTTT: commercial App-‐based IoT plaRorm (example)
ConnecUvity, Performance
Next-‐generaUon Internet Research Plaworms
30
RouUng
Business
Infrastructure
Traffic
ConnecUvity, Performance
Next-‐generaUon Internet Research Plaworms
31
RouUng
Business
Infrastructure
Traffic
Limited ability to influence routing
Duplicated effort and limited visibility
ConnecUvity, Performance
Next-‐generaUon Internet Research Plaworms
32
RouUng
PEERING n Give researchers infrastructure n Allow emulation of business relationships n Let researchers exchange routes
with the real Internet
SIBYL
n Combine multiple measurement platforms n Maintain an up-to-date atlas n Allow complex queries
PUROMALTE n Allow visibility from the edge n End-to-end performance monitoring n Custom monitoring and
actuation solutions
Business
Infrastructure
Traffic
WINET DCC UFMG
33
The WINET (Wireless Networks) group is one of the research groups in networking of the Computer Science Department of Federal University of Minas Gerais. The WINET group parUcipates in several research projects in the topic of wireless networks, developing new networking protocols as well as contribuUng to network management and security services for wireless communicaUon. The group has several ongoing naUonal and internaUonal partnerships, and our researchers publish in the main symposia and journals of the area.
