Skip to main content
SpringerLink
Log in

Layered Fault Management Scheme for End-to-end Transmission in Internet of Things

  • Published:
Mobile Networks and Applications Aims and scope Submit manuscript

Abstract

Internet of things (IoT) points out an inspiring road towards intelligent world of real-time information collection and interaction among people and entities. It may provide various applications by connecting all the existing communication networks. To ensure the reliability of end-to-end transmission in the hierarchical environments, fault management is of great importance. Current relative algorithms are designed for specific network, not suited to these complex conditions. Meanwhile, the utilization of existing facilities should be considered for implementation feasibility. In this paper, we propose a layered fault management scheme for IoT with uniform fault managing procedure control and separate layer functions. Flexible and effective monitoring model would be set in selected observing points around the networks. Advanced fuzzy cognitive maps (FCM) is adopted to realize integrated evaluation and prediction of the possible fault. The observing points could adjust the weighting rule in the model to suit the practical network condition and work independently. After further confirmation among neighbor points, fault recovery therapy could be handed over to the corresponding network with existing counter-measures. The proposed design suits well to the efficiency and feasibility requirements of IoT. Simulation results further prove its desirable behavior.

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
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Kopetz H (2011) Internet of things. Real-Time Systems Series, 307–323

  2. Gershenfeld N, Krikorian R, Cohen D (2004) The internet of things. Scientific American 291(44):76–81

    Article  Google Scholar 

  3. Chen S, Shi Y, Bo H (2007) Survey on the mobility management theory and technology. Journal on Communications 28(10):123–133

    Google Scholar 

  4. Chen M, Gonzalez S, Vasilakos A, Cao H, Leung V (2011) Body area networks: a survey. ACM/Springer Mobile Networks and Applications 16(2):171–193

    Article  Google Scholar 

  5. Chen M, Gonzalez S, Leung V, Zhang Q, Li M (2010) A 2G-RFID based E-healthcare system. IEEE Wireless Communications Magazine 17(1):37–43

    Article  Google Scholar 

  6. Chen M, Gonzalez S, Zhang Q, Leung V (2010) Code-Centric RFID system based on software agent intelligence. IEEE Intelligent Systems 25(2):12–19

    Article  Google Scholar 

  7. Breitgand D, Raz D, Shavitt Y (2002) SNMP GetPrev: an efficient way to access data in large MIB tables. IEEE Journal of Selected Areas in Communication 20(4):656–667

    Article  Google Scholar 

  8. Elhadef M, Boukerche A, Elkadiki H (2006) Diagnosing mobile ad-hoc networks: two distributed comparison-based self-diagnosis protocols. 4th ACM International Workshop on Mobility Management and Wireless Access, pp 18–27

  9. Asim M, Mokhtar H, Merabti M (2008) A fault management architecture for wireless sensor network. Proceedings of Wireless Communications and Mobile Computing Conference 2008:779–785

    Google Scholar 

  10. Chessa S, Santi P (2001) Comparison-based system-level fault diagnosis in ad hoc networks. Proceedings of Relable Distributed Systems, 20th IEEE symposium, pp 257–266

  11. Yu M, Mokhtar H, Merabti M (2007) Fault management in wireless sensor networks. Wireless Communications, IEEE 14(6):13–19

    Article  Google Scholar 

  12. Varga P, Moldovan I (2007) Integration of service-level monitoring with fault management for end-to-end multi-provider ethernet services. Network and Service Management, IEEE Transactions on 4(1):28–38

    Article  Google Scholar 

  13. Habib T, Inglada J, Mercie G (2009) Support vector reduction in SVM algorithm for abrupt change detection in remote sensing. Geoscience and Remote Sensing Letters, IEEE 6(3):606–610

    Article  Google Scholar 

  14. Duan X, Liu Z, Liu H (2010) Network intrusion detection by rough set and least squares support vector machine. Signal Processing Systems (ICSPS), 2010 2nd International Conference 1:564–566

    Google Scholar 

  15. Steinder M, Sethi AS (2004) Probabilistic fault localization in communication systems using belief networks. Networking, IEEE/ ACM Transactions on 12(5):809–822

    Article  Google Scholar 

  16. Sethi AS (2004) A survey of fault localization techniques in computer networks. Science of Computer Programming 53(2):165–194

    Article  MathSciNet  MATH  Google Scholar 

  17. Samanta B, Al-Balushi KR, Al-Araimi SA (2004) Bearing fault detection using artificial neural networks and genetic algorithm. EURASIP Journal on Applied Signal Processing 1:366–377

    Google Scholar 

  18. Kosko B (1986) Fuzzy cognitive maps. International Journal of Man–machine Studies 24:65–75

    Article  MATH  Google Scholar 

Download references

Acknowledgement

This paper is sponsored by the Youth Innovation Research Plan of BUPT under Grand 2011RC0110, the National Youth Nature Science Foundation under Grand 61001115 and the Beijing Nature Science Foundation under Grand 4102044.

Author information

Authors and Affiliations

  1. Key Lab of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China

    Xi Li, Hong Ji & Yi Li

Authors
  1. Xi Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hong Ji
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yi Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xi Li.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Li, X., Ji, H. & Li, Y. Layered Fault Management Scheme for End-to-end Transmission in Internet of Things. Mobile Netw Appl 18, 195–205 (2013). https://doi.org/10.1007/s11036-012-0355-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11036-012-0355-5

Keywords

Search

Navigation