Browse > Article
http://dx.doi.org/10.7472/jksii.2015.16.5.75

Practical Methods for Managing Faults in IoT Computing  

Park, Chun Woo (Department of Computer Science, Soongsil University)
Kim, Soo Dong (Department of Computer Science, Soongsil University)
Publication Information
Journal of Internet Computing and Services / v.16, no.5, 2015 , pp. 75-86 More about this Journal
Abstract
Internet of Thing (IoT) computing is an environment where various devices with sensors and actuators are connect, and interact together to acquire contexts and provide useful services. With the advances of IoT technologies, its usability becomes an in important issue. However, there exist various types of faults in IoT computing which are not conventionally addressed in software research community. Providing reliable IoT services is challenging. In this paper, we present a hierarchy of IoT faults and analyze causes and symptoms of the faults. Based on the analysis, we define effective methods for managing IoT faults. We believe that our proposed framework for managing IoT faults can be utilized in reducing the development cost of IoT applications and enhancing the quality of the applications.
Keywords
Internet of Things (IoT); IoT Computing Environment; IoT Fault; Fault Management Process; Fault Management Method;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Reed, D.A. Gannon, D.B., and Larus, J.R., "Imagining the Future: Thoughts on Computing", IEEE Computer, Vol.45, pp. 25 - 30, 2011. http://doi.ieeecomputersociety.org/10.1109/MC.2011.327   DOI
2 Sehgal, A., Perelman, V., Kuryla, S., Schonwalder, J, "Management of resource constrained devices in the internet of things", Communications Magazine, IEEE, 2012, 50.12: 144-149. http://dx.doi.org/10.1109/MCOM.2012.6384464   DOI
3 Paradis, L. and Han, Q., "A Survey of Fault Management in Wireless Sensor Networks", Journal of Network and Systems Management, Vol. 15, pp. 171-190, 2007. http://dx.doi.org/10.1007/s10922-007-9062-0   DOI
4 Zhu, Q., Wang, R., Chen, Q., Liu, Y., and Qin, W., "IoT Gateway: BridgingWireless Sensor Networks into Internet of Things", In Proceedings of 8th IEEE/IFIP Embedded and Ubiquitous Computing (EUC), pp.347-352, Hong Kong, December 2010. http://dx.doi.org/10.1109/EUC.2010.58   DOI
5 Sokullu, R. and Karaca, O., "Fault Management for Smart Wireless Sensor Networks", In Proceedings of 9th International Conference on Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC), pp.382-387, Fkuoka, September, 2012. http://dx.doi.org/10.1109/UIC-ATC.2012.159   DOI
6 Yu, P., Jia, S., and Xi-yuan, P., "A self detection technique in fault management in WSN", In Proceedings of IEEE Instrumentation and Measurement Technology Conference (I2MTC), pp. 1-4, Binjiang, May 2011. http://dx.doi.org/10.1109/IMTC.2011.5944171   DOI
7 Shih, H.C., Ho, J.H., Liao, B.Y., and Pan, J.S., "Fault Node Recovery Algorithm for a Wireless Sensor Network", IEEE Sensors Journal, Vol. 13, pp. 2683-2689, 2013. http://dx.doi.org/10.1109/JSEN.2013.2255591   DOI
8 Liu, X., Cao, J., Bhuiyan, M., Lai, S., Wu, H., and Wang, G., "Fault tolerant WSN-based structural health monitoring", In Proceedings of IEEE/IFIP 41st International Conference on Dependable Systems & Networks (DSN), pp.37-48, Hong Kong, June 2011. http://dx.doi.org/10.1109/DSN.2011.5958205   DOI
9 Afsar, M.M., Yaghmaee Moghaddam, M.H., and Esmaeil, Z.K., "A Fault Tolerant Protocol for Wireless Sensor Networks", In Proceedings of Seventh International Conference on Mobile Ad-hoc and Sensor Networks (MSN), pp. 475-478, Beijing, December 2011. http://dx.doi.org/10.1109/MSN.2011.5   DOI
10 Asim, M., Mokhtar, H., and Merabti, M., "A self-managing fault management mechanism for wireless sensor networks", International Journal of Wireless & Mobile Networks (IJWMN), Vol.2, No.4, pp. 184-197, 2010. http://arxiv.org/abs/1011.5072   DOI
11 Silas, S., Ezra, K., and Rajsingh, E.B, "A novel fault tolerant service selection framework for pervasive computing", Human-centric Computing and Information Sciences, 2:5, 2012. http://dx.doi.org/10.1186/2192-1962-2-5   DOI
12 Ni, K. and Pottie, G., "Sensor network data fault detection with maximum a posteriori selection and bayesian modeling", ACM Transactions on Sensor Networks (TOSN), Vol. 8, no. 23, 2012. http://dx.doi.org/10.1145/2240092.2240097   DOI
13 Xu, X., Chen, T., and Minami, M., "Intelligent fault prediction system based on internet of things", Computers & Mathematics with Applications, Vol. 64, pp. 833-839, 2012. http://dx.doi.org/10.1016/j.camwa.2011.12.049   DOI
14 Maalel, N., Natalizio, E., Bouabdallah, A., Roux, P., and Kellil, M., "Reliability for Emergency Applications in Internet of Things", In Proceedings of IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), pp.361-366, May 2013. http://dx.doi.org/10.1109/DCOSS.2013.40   DOI
15 Lau, B., Ma, E, and Chow, T., "Probabilistic fault detector for Wireless Sensor Network", Expert Systems with Applications, Vol.41, pp. 3703-3711, 2013. http://dx.doi.org/10.1016/j.eswa.2013.11.034   DOI
16 Pop, F., Bessis, N., "Energy-Efficient and Fault Tolerant Methods for Message Delivery in Internet of Things", In Proceedings of 11th Roedunet International Conference (RoEduNet), pp.1-6, 2013. http://dx.doi.org/10.1109/RoEduNet.2013.6511735   DOI
17 Goudar, V. and Potkonjak, M., "Low-power semantic fault-detection in multi-sensory mobile health monitoring systems", In Proceedings of IEEE World Forum on Internet of Things (WF-IoT), pp.32-36, 2014. http://dx.doi.org/10.1109/WF-IoT.2014.6803112   DOI
18 Munir, A., and Gordon-Ross, A. "Markov Modeling of Fault- Tolerant Wireless Sensor Networks", In Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN), pp. 1-6, Maui, August, 2014. http://dx.doi.org/10.1109/ICCCN.2011.6005768   DOI
19 Redwan, H., Akele, G. and Kim, K.H., "Cluster-based failure detection and recovery scheme in wireless sensor network", In Proceedings of 6th Ubiquitous and Future Networks (ICUFN), pp.407-412, Shanghai, July 2014. http://dx.doi.org/10.1109/ICUFN.2014.6876824   DOI