An IoT network is rendered reliable when it is tolerant to faults. Fault management involves fault prevention, detection and recovery of which prevention is considered to be a significant phase. The main objective of this work is fault prevention and detection in IoT networks. The existing IoT fault prevention system finds only one reliable path identified using the goodness value of different available paths and no alternate solutions are provided in case of failure of the reliable path. The proposed system provides a solution by choosing the non-discarded path with the highest goodness value for transmission in case the chosen path fails. The proposed framework has a set of observer nodes connected to a smart gateway and a set of sensor nodes connected to the observers. The gateway acts as the interface between the network and the Internet. This framework comprises prevention and detection algorithms to prevent communication failures between sensor node and gateway, to provide alternative reliable paths for transmission and to detect node faults in early stages. The proposed gateway also provides a solution for hardware failure, software failure, connection failure and also manages the overall load balance of the network.

IoT, Smart gateway, Fault-tolerant, Fault management system, Goodness value

[1] Q. Zhu, R. Wang,Q. Chen, Y. Liu & W. Qin, "Iot gateway: Bridgingwireless sensor networks into internet of things", Embedded and Ubiquitous Computing (EUC), 2010 IEEE/IFIP 8th International Conference on. IEEE, 2010
[2] H. Suo, J. Wan, C. Zou, & J. Liu, “Security in the internet of things: a review”, In Computer Science and Electronics Engineering (ICCSEE), 2012 international conference on (Vol. 3, pp. 648-651). IEEE
[3] G.White,V. Nallur, & S. Clarke,” Quality of Service Approaches in IoT": A Systematic Mapping”, Journal of Systems and Software, 132, pp.186-203 ,2017
[4] M.C. León, H. Meyer, D. Rexachs, & E. Luque, “Fault tolerance at system level based on RADIC architecture”, Journal of Parallel and Distributed Computing, 86, 98-111, 2015.
[5] W. Chen, R.F. da Silva, E. Deelman, & T. Fahringer,” Dynamic and fault-tolerant clustering for scientific workflows”, IEEE Transactions on Cloud Computing, 4(1), 49-62,2016.
[6] Y. Challal, A. Ouadjaout., N. Lasla, M. Bagaa & A. Hadjidj, “Secure and efficient disjoint multipath construction for fault tolerant routing in wireless sensor networks”, Journal of network and computer applications, 34(4), pp.1380-1397, 2011.
[7] T.N. Gia, A.M. Rahmani, T. Westerlund, P. Liljeberg, & H. Tenhunen, “Fault tolerant and scalable IoT-based architecture for health monitoring”, In Sensors Applications Symposium (SAS), 2015 IEEE (pp. 1-6). IEEE.
[8] S. Misra, A. Gupta, P.V. Krishna, H. Agarwal, & M.S. Obaidat, “An adaptive learning approach for fault-tolerant routing in Internet of things”, In Wireless Communications and Networking Conference (WCNC), 2012 IEEE (pp. 815-819). IEEE.K.
[9] M.W. Woo, J. Lee, & K. Park, “A reliable IoT system for Personal Healthcare Devices. Future Generation Computer Systems” , 78, pp.626-640 ,2017.
[10] S.A. Karthikeya, Vijeth, J. K., & C.S.R. Murthy,”Leveraging Solution-Specific Gateways for cost-effective and fault-tolerant IoT networking” In Wireless Communications and Networking Conference (WCNC), 2016 IEEE (pp. 1-6). IEEE.
[11] S. Misra, P.V. Krishna,A. Bhiwal, A.S. Chawala, B.E. Wolfinger, & C. Lee. "A learning automata-based fault-tolerant routing algorithm for mobile ad hoc networks." The Journal of Supercomputing 1-20,2012.