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Deployment and Management of Cooperating Objects

  • Stamatis KarnouskosEmail author
  • Pedro José Marrón
  • Giancarlo Fortino
  • Luca Mottola
  • José Ramiro Martínez-de Dios
Chapter
  • 362 Downloads
Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Abstract

Despite the vast amount of past and on-going research in network embedded systems and pervasive computing, real-world deployments of systems of Cooperating Objects are largely still limited to research prototypes.

Keywords

Global Position System Sensor Node Structural Health Monitoring Enterprise Resource Planning Manufacture Execution System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Mottola L, Picco GP (2011) Programming wireless sensor networks: fundamental concepts and state of the art. ACM Comput Surv 43(3):19:1–19:51. doi: 10.1145/1922649.1922656 CrossRefGoogle Scholar
  2. 2.
    Colombo AW, Karnouskos S, Mendes JM (2010) Factory of the future: a service-oriented system of modular, dynamic reconfigurable and collaborative systems. In: Benyoucef L, Grabot B (eds) Artificial intelligence techniques for networked manufacturing enterprises management. Springer, New York. ISBN 978-1-84996-118-9Google Scholar
  3. 3.
    Karnouskos S, Baecker O, de Souza LMS, Spiess P (2007) Integration of SOA-ready networked embedded devices in enterprise systems via a cross-layered web service infrastructure. In: Proceedings of IEEE conference on ETFA emerging technologies and factory automation, pp 293–300. doi: 10.1109/EFTA.2007.4416781
  4. 4.
    Colombo AW, Karnouskos S (2009) Towards the factory of the future: a service-oriented cross-layer infrastructure. In: ICT shaping the world: a scientific view, ISBN: 9780470741306, European Telecommunications Standards Institute (ETSI), Wiley, Sophia-AntipolisGoogle Scholar
  5. 5.
    Karnouskos S, Savio D, Spiess P, Guinard D, Trifa V, Baecker O (2010) Real world service interaction with enterprise systems in dynamic manufacturing environments. In: Benyoucef L, Grabot B (eds) Artificial intelligence techniques for networked manufacturing enterprises management, ISBN 978-1-84996-118-9. Springer, LondonGoogle Scholar
  6. 6.
    Taisch M, Colombo AW, Karnouskos S, Cannata A (2009) Socrades roadmap: the future of soa-based factory automation. http://www.socrades.eu/Documents/objects/file1274836528.84
  7. 7.
    Karnouskos S, Colombo AW (2011) Architecting the next generation of service-based SCADA/DCS system of systems. In: 37th annual conference of the IEEE industrial electronics society (IECON 2011), MelbourneGoogle Scholar
  8. 8.
    Karnouskos S, Colombo AW, Bangemann T, Manninen K, Camp R, Tilly M, Stluka P, Jammes F, Delsing J, Eliasson J (2012) A SOA-based architecture for empowering future collaborative cloud-based industrial automation. In: 38th annual conference on the IEEE industrial electronics society (IECON 2012), Montréal, CanadaGoogle Scholar
  9. 9.
    Spiess P, Karnouskos S, Guinard D, Savio D, Baecker O, Souza LMSd, Trifa V (2009) SOA-based integration of the internet of things in enterprise services. In: Proceedings of IEEE international conference on web services, (ICWS 2009), Los Angeles, pp 968–975. doi: 10.1109/ICWS.2009.98
  10. 10.
    University of Amsterdam (2012) UvA bird tracking system. http://www.uva-bits.nl/other-projects/
  11. 11.
    Bicket J, Aguayo D, Biswas S, Morris R (2005) Architecture and evaluation of an unplanned 802.11b mesh network. In: Proceedings of the 11th ACM internernational conference on mobile computing and networkingGoogle Scholar
  12. 12.
    Raychaudhuri D, Seskar I, Ott M, Ganu S, Ramachandran K, Kremo H, Siracusa R, Liu H, Singh M (2005) Overview of the ORBIT radio grid testbed for evaluation of next-generation wireless network protocols. In: Proceedings of the IEEE wireless communications and networking conferenceGoogle Scholar
  13. 13.
    Werner-Allen G, Swieskowski P, Welsh M (2005) Motelab: A wireless sensor network testbed. In: Proceedings of the fourth international conference on information processing in sensor networks (IPSN’05), special track on platform tools and design methods for network embedded sensors (SPOTS)Google Scholar
  14. 14.
    Aschenbruck N, Bauer J, Ernst R, Fuchs C, Kirchhoff J (2011) Demo abstract: a Mesh-based command and control sensing system for public safety scenarios. In: Proceedings of the 9th ACM conference on embedded networked sensor systemsGoogle Scholar
  15. 15.
    Aschenbruck N, Bauer J, Ernst R, Fuchs C, Kirchhoff J (2011) Deploying a mesh-based command and control sensing system in a disaster area maneuver. In: Proceedings of the 9th ACM conference on embedded networked sensor systemsGoogle Scholar
  16. 16.
    Lee SJ, Gerla M, Chiang CC (1999) On-demand multicast routing protocol. In: Proceedings of the IEEE wireless communications and networking conference (WCNC), pp 1298–1302Google Scholar
  17. 17.
    Aschenbruck N, Gerhards-Padilla E, Martini P (2009) Modeling mobility in disaster area scenarios. Elsevier Perform Eval Spec Issue Perform Eval Wireless Ad Hoc Sens Ubiquitous Netw 66(12):773–790Google Scholar
  18. 18.
    Kohler E, Morris R, Chen B, Jannotti J, Kaashoek FM (2000) The click modular router. ACM Trans Comput Syst 18(3):263–297CrossRefGoogle Scholar
  19. 19.
    Aschenbruck N, Fuchs C (2011) STMP—sensor data transmission and management protocol. In: Proceedings of the 36th IEEE conference on local computer networksGoogle Scholar
  20. 20.
    Govaers F, Fuchs C, Aschenbruck N (2010) Evaluation of network effects on the Kalman filter and accumulated state density filter. In: Proceedings of the 2nd international workshop on cognitive information processingGoogle Scholar
  21. 21.
    Bar-Shalom Y, Li XR, Kirubarajan T (2001) Estimation with applications to tracking and navigation. Wiley, New YorkCrossRefGoogle Scholar
  22. 22.
    Koch W (2009) On accumulated state densities with applications to out-of-sequence measurement processing. In: Proceedings of the 12th ISIF international conference on information fusionGoogle Scholar
  23. 23.
    Hill J, Szewczyk R, Woo A, Hollar S, Culler D, Pister K (2000) System architecture directions for networked sensors. In: Proceedings of the 9th international conference on architectural support for programming languages and operating systems, pp 93–104. doi: 10.1145/378993.379006
  24. 24.
    Costa P, Mottola L, Murphy AL, Picco GP (2007) Programming wireless sensor networks with the TeenyLIME middleware. In: Proceedings of the 8th ACM/USENIX international middleware conferenceGoogle Scholar
  25. 25.
    Ceriotti M, Mottola L, Picco GP, Murphy AL, Guna S, Corrà M, Pozzi M, Zonta D, Zanon P (2009) Monitoring heritage buildings with wireless sensor networks: the Torre Aquila deployment. In: Proceedings of the 8th international conference on information processing in sensor networks (IPSN)Google Scholar
  26. 26.
    Mottola L, Picco G, Ceriotti M, Guna S, Murphy A (2010) Not all wireless sensor networks are created equal: a comparative study on tunnels. ACM Trans Sens Netw (TOSN) 7(2):149–162Google Scholar
  27. 27.
    Raza U, Camerra A, Murphy A, Palpanas T, Picco G (2012) What does model-driven data acquisition really achieve in wireless sensor networks? In: Proceedings of the 10th IEEE international conference on pervasive computing and communications (PerCom 2005), IEEE computer societyGoogle Scholar

Copyright information

© The Author(s) 2014

Authors and Affiliations

  • Stamatis Karnouskos
    • 1
    Email author
  • Pedro José Marrón
    • 2
  • Giancarlo Fortino
    • 3
  • Luca Mottola
    • 4
  • José Ramiro Martínez-de Dios
    • 5
  1. 1.SAPKarlsruheGermany
  2. 2.Netzworked Embedded Systems GroupUniversity of Duisburg-EssenDuisburgGermany
  3. 3.University of CalabriaCalabriaItaly
  4. 4.Dipartimento di Elettronica ed InformazionePolitecnico di MilanoMilanoItaly
  5. 5.University of SevilleSevilleSpain

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