Abstract
Wireless sensor networks (WSNs) can be used for a wide range of purposes and have almost unlimited future potential. Energy depletion, hardware failure, communication connection errors, malicious attacks, and other factors can cause nodes in WSNs to fail. As a result, one of the essential aspects of WSNs is fault tolerance. In this paper, we present a fault-tolerant technique for a clustered WSN . A node is chosen as an alternate cluster head (ACH) to detect the failure of cluster heads (CH) and cluster member (CM) nodes. The alternate cluster head monitors the CH’s performance and copies its results. The malfunctioning of the CM is detected by the CH, and the data from the failed CM will be transferred to CH via ACH. The proposed methodology compares the performance of some existing related algorithms in terms of various metrics such as energy efficiency, number of inactive nodes, number of dead cluster heads, and packet loss.
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References
Singh, D.P., Bhateja, V., Soni, S.K.: An efficient cluster-based routing protocol for wsns using time series prediction-based data reduction scheme. Int. J. Measurement Technol. Instrumentation Eng. (IJMTIE) 3(3), 18–34 (2013)
Demirbas, M.: Scalable design of fault-tolerance for wireless sensor networks, Ph.D. dissertation, The Ohio State University (2004)
Azharuddin, M., Jana, P.K.: A distributed algorithm for energy efficient and fault tolerant routing in wireless sensor networks. Wireless Netw. 21(1), 251–267 (2015)
Qiu, M., Liu, J., Li, J., Fei, Z., Ming, Z., Edwin, H.: A novel energy-aware fault tolerance mechanism for wireless sensor networks. In: 2011 IEEE/ACM International Conference on Green Computing and Communications. IEEE, pp. 56–61 (2011)
Moridi, E., Haghparast, M., Hosseinzadeh, M., Jassbi, S.J.: Fault management frameworks in wireless sensor networks: a survey. Comput. Commun. 155, 205–226 (2020)
Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: An application-specific protocol architecture for wireless microsensor networks. IEEE Trans. Wireless Commun. 1(4), 660–670 (2002)
Cheraghlou, M.N., Haghparast, M.: A novel fault-tolerant leach clustering protocol for wireless sensor networks. J. Circuits Syst. Comput. 23(03), 1450041 (2014)
Jadav, P., Babu, V.K.: Fuzzy logic based faulty node detection in wireless sensor network. In: 2017 International Conference on Communication and Signal Processing (ICCSP). IEEE, pp. 0390–0394 (2017)
Jia, S., Ma, L., Qin, D.: Fault detection modelling and analysis in a wireless sensor network. J. Sensors (2018)
Gupta, D., Sundaram, S., Rodrigues, J.J., Khanna, A.: An improved fault detection crow search algorithm for wireless sensor network. Int. J. Commun. Syst. e4136 (2019)
Mohapatra, H., Rath, A.K.: Fault-tolerant mechanism for wireless sensor network. IET Wireless Sensor Syst. 10(1), 23–30 (2019)
Khriji, S., Ammar, M.B., Fakhfakh, A., Kammoun, I., Kanoun, O.: Energy Aware Fault Tolerant Re-clustering Algorithm for Wireless Sensor Networks
Jaiswal, K., Anand, V.: Eomr: an energy-efficient optimal multi-path routing protocol to improve qos in wireless sensor network for iot applications. In: Wireless Personal Communications, pp. 1–23 (2019)
Jaiswal, K., Anand, V.: An optimal qos-aware multipath routing protocol for iot based wireless sensor networks. In: 3rd International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, pp. 857–860 (2019)
Jaiswal, K., Anand, V.: A grey-wolf based optimized clustering approach to improve qos in wireless sensor networks for iot applications. In: Peer-to-Peer Networking and Applications, pp. 1–20 (2021)
Moridi, E., Haghparast, M., Hosseinzadeh, M., Jassbi, S.J.: Novel fault-tolerant clustering-based multipath algorithm (ftcm) for wireless sensor networks. Telecommun. Syst. 74(4), 411–424 (2020)
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Jaiswal, K., Anand, V. (2022). Efficient Fault-Tolerant Cluster-Based Approach for Wireless Sensor Networks. In: Satapathy, S.C., Peer, P., Tang, J., Bhateja, V., Ghosh, A. (eds) Intelligent Data Engineering and Analytics. Smart Innovation, Systems and Technologies, vol 266. Springer, Singapore. https://doi.org/10.1007/978-981-16-6624-7_29
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DOI: https://doi.org/10.1007/978-981-16-6624-7_29
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