Liability Diagnosis with a Novel Cluster Setup for WSNS by Dag Arrangement Using of Log Files in Internet of Things

Liability Diagnosis with a Novel Cluster Setup for WSNS by Dag Arrangement Using of Log Files in Internet of Things



  • 2021

  • January-Feburary

  • Research

    Technical Paper Publishing Sites , Journals for Publication of Research Paper , Best Journal to Publish Research Paper , Research Paper Publication Sites , Best International Journal for Paper Publication , Best Journals to Publish Papers in India , Journal Publication Sites , Research Paper Publication Sites



    A wireless sensors network (WSNs) contains thousands of
    sensor nodes which may lead to failures because of unattended
    deployments in it. Communication in sensor nodes will not happen due to
    these failures which produce in correct data due to its unstable nature of
    jumping from normal state to fault state results in data loss and sensor
    connectivity issues. Therefore it is necessary to take appropriate measures
    in advance to detect sustain network failures. To overcome this in our
    paper we proposed the cluster management setup in which the events of
    failures are detected, diagnosed and recovered by using the flow of DAG
    scheduler and LOG FILES. Keywords: WSNs, Fault detection, Fault
    recovery, IOT, Fault diagnosis, DAG and LOG FILES,
    1. G.Y. Durga Devi (2013),”Clustering Algorithms In Wireless Sensor Networks-A Survey, ISSN (Online): 2347-2820, Volume -1, Issue-2
    2. J.Neuzil,O.Kreibich,andR.Smid,“Adistributedfaultdetectionsystem based on iwsn for machine condition monitoring,” IEEE Transactions on Industrial
    Informatics, vol. 10, no. 2, pp. 1118–1123, May 2014.
    3. I. Bekmezci and F. Alagoz, “Energy efficient, delay sensitive, fault tolerant wireless sensor network for military monitoring,” in Sensors Applications
    Symposium, 2008. SAS. IEEE, 2008, pp. 172–177.
    4. H. Xu, R. Zhang, C. Lin, and Y. Ma, “Novel approach of fault diagnosis in wireless sensor networks node based on rough set and neural network
    model,” International Journal of Future Generation Communication and Networking, vol. 9, no. 4, pp. 1–16, 2016.
    5. S.Rani,S.H.Ahmed,R.Talwar,andJ.Malhotra,“Cansensors collect big data? An energy-efficient big data gathering algorithm for a WSN,”IEEE
    Transactions on Industrial In formatics, vol.13,no.4,pp.1961–1968, 2017.
    6. Kaiwartya, O., Abdullah, A. H., Cao, Y., Lloret, J., Kumar, S., Shah, R. R., et al. (2018). Virtualization in wireless sensor networks: Fault tolerant
    embedding for internet of things. IEEE Internet Things, 5, 571–580
    7. Ding, S. X., Zhang, P., Yin, S., & Ding, E. L. (2013). An integrated design framework of fault-tolerant wireless networked control systems for
    industrial automatic control applications. IEEE Transactions on Industrial Informatics, 9(1), 462–471.
    8. MEl Y, XIAN c., DAS S., HU yc., LU Y.H.: 'Repairing sensor networks using mobile robots'. Proc. ICDCS In!. Workshop on Wireless Ad Hoc and
    Sensor Networks, Lisboa, Portugal, July 2006
    9. M. Panda and P. Khilar, “Distributed self fault diagnosis algorithm for large scale wireless sensor networks using modified three sigmaedittest,” Ad
    Hoc Networks, 2014.
    10. Cheraghlou, M. N., & Haghparast, M. (2014). A novel fault-tolerant leach clustering protocol for wireless sensor networks. Journal of Circuits,
    Systems, and Computers, 23, 1450041
    11. Rajeswari, K., & Neduncheliyan, S. (2017). Genetic algorithm based fault tolerant clustering in wireless sensor network. IET Communications,
    11(12), 1927–1932.

    12. Kaur, T., & Kumar, D.

    Liability Diagnosis with a Novel Cluster Setup for WSNS by Dag Arrangement Using of Log Files in Internet of Things