Skip to main content
SpringerLink
Log in

Enhancing dependability through profiling in the collaborative internet of things

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

The future of the Internet of Things (IoT) is the Collaborative Internet of Things (C-IoT) in which different IoT deployments collaborate to provide better services. For instance, in smart city scenarios, C-IoT will have the potential to provide immersive multimedia user-experiences based on content and context fusion, immersive multi-sensory environments, location-based and media internet technologies, and augmented reality. However, this future paradigm will only be possible if the right decisions can be made based on the analysis of huge volumes of collected data: i.e. if the dependability of C-IoT is ensured. To address this challenge, we studied a simplified view of a C-IoT architecture composed of devices using three different technologies that have enabled the existence of IoT (RFID, NFC and Beacons). However, our proposal could be extended to any other devices in the context of C-IoT. To enhance the dependability of C-IoT, we deploy statistical data analysis techniques to improve the quality of the data obtained from identification and sensing devices and to select the most reliable devices that provide trusted (i.e. non-faulty) data in order to support accurate decision-making.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Listing 1
Listing 2
Listing 3
Listing 4

Similar content being viewed by others

References

  1. Beacon A ASensor. http://wiki.aprbrother.com/wiki/ASensor. Visited on 2017-10-20

  2. Beacon A April Beacon website. https://blog.aprbrother.com/. Visited on 2017-10-20

  3. Behmann F, Wu K (2015) Collaborative internet of things (C-IoT): for future smart connected life and business. Wiley

  4. Belkacem I, Bahloul SN, Aktouf OEK (2014) Data analysis of an RFID system for its dependability. Int J Embedded Real-Time Commun Syst (IJERTCS) 5(3):1–22

    Article  Google Scholar 

  5. Boano CA, Römer K, Voigt T (2015) RELYonIT: dependability for the internet of things. IEEE IoT Newsl 13

  6. Borges Neto JB, Silva TH, Assunċão RM, Mini RA, Loureiro AA (2015) Sensing in the collaborative internet of things. Sensors 15(3):6607–6632

    Article  Google Scholar 

  7. Chavira G, Nava SW, Hervas R, Bravo J, Sanchez C (2007) Combining RFID and NFC technologies in an AmI conference scenario. In: Eighth Mexican International conference on current trends in computer science, 2007. ENC 2007. IEEE, pp 165–172

  8. Dar KS, Taherkordi A, Eliassen F (2016) Enhancing dependability of cloud-based IoT services through virtualization. In: 2016 IEEE First international conference on internet-of-things design and implementation (IoTDI). IEEE, pp 106–116

  9. Dean RB, Dixon W (1951) Simplified statistics for small numbers of observations. Anal Chem 23(4):636–638

    Article  Google Scholar 

  10. Fritz G, Beroulle V, Nguyen M, Aktouf OEK, Parissis I (2010) Read-error-rate evaluation for RFID system on-line testing. In: 2010 IEEE 16th international mixed-signals, sensors and systems test workshop (IMS3TW). IEEE, pp 1–6

  11. Fritz G, Beroulle V, Aktouf OEK, Hely D Méthodes statistiques pour le test en ligne des systèmes rfid uhf https://www.researchgate.net/profile/Oum-El-Kheir_Aktouf/publication/268304220_Methodes_statistiques_pour_le_test_en_ligne_des_systemes_RFID_UHF/links/54be8aff0cf28ce312326cfe/Methodes-statistiques-pour-le-test-en-ligne-des-systemes-RFID-UHF.pdf. Visited on 2017-10-20

  12. Grubbs FE (1950) Sample criteria for testing outlying observations. Ann Math Stat 27–58

  13. Grubbs FE (1969) Procedures for detecting outlying observations in samples. Technometrics 11(1):1–21

    Article  Google Scholar 

  14. Grubbs FE, Beck G (1972) Extension of sample sizes and percentage points for significance tests of outlying observations. Technometrics 14(4):847–854

    Article  MathSciNet  Google Scholar 

  15. Hamdan D (2013) Détection et diagnostic des fautes dans des systèmes à base de réseaux de capteurs sans fils. Ph.D. thesis, Université de Grenoble

    Google Scholar 

  16. Herrera MM, Bonastre A, Capella JV (2008) Performance study of non-beaconed and beacon-enabled modes in IEEE 802.15.4 under bluetooth interference. In: The Second international conference on mobile ubiquitous computing, systems, services and technologies, 2008. UBICOMM’08. IEEE, pp 144–149

  17. Intel A guide to the internet of things: how billions of online objects are making the world Wise. https://www.intel.com/content/www/us/en/internet-of-things/infographics/guide-to-iot.html. Visited on 2017-10-20

  18. IV P PHASE IV website. https://www.phaseivengr.com. Visited on 2017-10-20

  19. Kalia M, Garg S, Shorey R (2000) Efficient policies for increasing capacity in Bluetooth: an indoor pico-cellular wireless system. In: Vehicular technology conference proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st, vol 2. IEEE, pp 907–911

  20. Kajioka S, Mori T, Uchiya T, Takumi I, Matsuo H (2014) Experiment of indoor position presumption based on RSSI of Bluetooth LE beacon. In: 2014 IEEE 3rd Global conference on consumer electronics (GCCE). IEEE, pp 337–339

  21. Kendall MG, Stuart A (1969) The advanced theory of statistics - v2 Inference and relationship. Griffin, London

    Google Scholar 

  22. Kevin A (2009) That ’Internet of Things’ thing, in the real world things matter more than ideas. RFID J 22

  23. Laprie JC, Arlat J, Blanquart J, Costes A, Crouzet Y, Deswarte Y, Fabre J, Guillermain H, Kaâniche M, Kanoun K et al (1995) Guide de la sûreté de fonctionnement. Cépaduès, Toulouse

    Google Scholar 

  24. Macedo D, Guedes LA, Silva I (2014) A dependability evaluation for internet of things incorporating redundancy aspects. In: 2014 IEEE 11th International conference on networking, sensing and control (ICNSC). IEEE, pp 417–422

  25. Markowski CA, Markowski EP (1990) Conditions for the effectiveness of a preliminary test of variance. Am Stat 44(4):322–326

    Google Scholar 

  26. Merrill RM (2012) Fundamentals of epidemiology and biostatistics. Jones & Bartlett Publishers

  27. Mtita C (2016) Lightweight serverless protocols for the internet of things. Institut National des Télécommunications, Ph.D. thesis

    Google Scholar 

  28. NXP Freescale home health hub reference platform. https://www.nxp.com/docs/en/fact-sheet/HMHLTHHUBFS.pdf. Visited on 2017-10-20

  29. Paulson DS (2003) Applied statistical designs for the researcher. CRC Press

  30. RELYonIT Research by experimentation for dependability on the internet of things. http://www.relyonit.eu. Visited on 2017-10-20

  31. Rosner B (1983) Percentage points for a generalized ESD many-outlier procedure. Technometrics 25(2):165–172

    Article  Google Scholar 

  32. Sample A, Zhao Y NFC-WISP website. https://nfc-wisp.wikispaces.com/. Visited on 2017-10-20

  33. Schaffers H, Komninos N, Pallot M, Trousse B, Nilsson M, Oliveira A (2011) Smart cities and the future internet: towards cooperation frameworks for open innovation. Fut Int 431–446

  34. Semiconductor N nRF51822 Bluetooth Smart Beacon Kit. http://www.nordicsemi.com/eng/Products/Bluetooth-low-energy/nRF51822-Bluetooth-Smart-Beacon-Kit. Visited on 2017-10-20

  35. Semiconductor N Nordic Semiconductor website. http://www.nordicsemi.com/. Visited on 2017-10-20

  36. Stuart A, Ord JK, Arnold S (1999) Kendall’s advanced theory of statistics. Vol 2A: classical inference and the linear model, vol 2. Edward Arnold, London

    Google Scholar 

  37. Thinfilm Thinfilm website. http://www.thinfilm.no/. Visited on 2017-10-20

  38. Thornton F, Sanghera P (2011) How to cheat at deploying and securing RFID Syngress

  39. WISP Home https://wisp5.wikispaces.com/WISP+Home. Visited on 2017-10-20

  40. Zhao Y, Smith JR, Sample A (2015) Nfc-wisp: a sensing and computationally enhanced near-field rfid platform. In: 2015 IEEE International conference on RFID (RFID), pp 174–181. https://doi.org/10.1109/RFID.2015.7113089

Download references

Author information

Authors and Affiliations

  1. LITIO Laboratory, University of Oran1, Ahmed Ben Bella, BP 1524, El-M’Naouer, Oran, Algeria

    Imad Belkacem & Safia Nait-Bahloul

  2. XLIM (UMR CNRS 7252 / Université de Limoges), 123 avenue Albert Thomas, 87060, Limoges Cedex, France

    Damien Sauveron

Authors
  1. Imad Belkacem
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Safia Nait-Bahloul
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Damien Sauveron
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Imad Belkacem or Damien Sauveron.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Belkacem, I., Nait-Bahloul, S. & Sauveron, D. Enhancing dependability through profiling in the collaborative internet of things. Multimed Tools Appl 78, 2983–3007 (2019). https://doi.org/10.1007/s11042-017-5431-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-017-5431-1

Keywords

Search

Navigation