Abstract
This paper proposes and analyzes an Energy Efficient Fault Tolerant QoS Adaptive Clustering Algorithm (FTQAC) for Wireless sensor networks suitable to support real-time traffic. The protocol achieves fault tolerance and energy efficiency through a dual cluster head mechanism and guarantees the desired QoS by including delay and bandwidth parameters in the route selection process. Simulation results indicate that FTQAC reduces overall energy consumption and improves network lifetime while maintaining required QoS.
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References
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, vol. 2. pp. 2–11 (2000)
Manjeshwar, A., Agrawal, D.P.: A hybrid protocol for efficient routing and comprehensive information retrieval in wireless sensor networks. In: Proceedings of 2nd International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing, pp. 195–202. Ft. Lauderdale (2002)
Loscri, V., Marano, S., Morabito, G.: A two-levels hierarchy for low-energy adaptative clustering hierarchy (TL-LEACH). In: Proceedings of VTC2005, pp. 1809–1813. Dallas, USA (2005)
Chen, W., Li, W., Shou, H., Yuan, B.: A QoS-based adaptive clustering algorithm for wireless sensor networks. In: Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation, pp. 1947–1952. Luoyang, China (2006)
Muruganathan, S.D., Ma, D.C.F., Bhasin, R.I., Fapojuwo, A.O.: A centralized energy-efficient routing protocol for wireless sensor networks. IEEE Commun. Mag. 43(3), S8–S13 (2005)
Ji, P., Wu, C., Zhang, Y., Chen, F.: A low-energy adaptive clustering routing protocol of wireless sensor networks. In: Proceedings of International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), pp. 1–4 (2011)
EkbataniFard, G.H., Monsefi, R., Akbarzadeh-T, M.R., Yaghmaee, M.H.: A multi-objective genetic algorithm based approach for energy efficient QoS-routing in two-tiered wireless sensor networks. In: Proceedings of International Symposium on Wireless Pervasive Computing (ISWPC), pp. 80–85 (2010)
Aslam, N., Phillips, W., Safdar, G.A.: Worst case bounds of a cluster-based MAC protocol for wireless sensor networks. In: Proceedings of Wireless Telecommunications Symposium (WTS), pp. 1–6 (2012)
Shiva Prakash, T., Raja, K.B., Venugopal, K.R., Iyengar, S.S., Patnaik, L.M.: Traffic-differentiated two-hop routing for QoS in wireless sensor networks. In: IEEE Proceedings of the 5th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), Beijing, China, 10–13 Oct 2013
Fapojuwo, A.O., Cano-Tinoco, A.: Energy consumption and message delay analysis of QoS enhanced base station controlled dynamic clustering protocol for wireless sensor networks. IEEE Trans. Wireless Commun. 8(10), 5366–5374 (2009)
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Shiva Prakash, T., Raja, K.B., Venugopal, K.R., Iyengar, S.S., Patnaik, L.M. (2014). Fault Tolerant QoS Adaptive Clustering for Wireless Sensor Networks. In: Maringanti, R., Tiwari, M., Arora, A. (eds) Proceedings of Ninth International Conference on Wireless Communication and Sensor Networks. Lecture Notes in Electrical Engineering, vol 299. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1823-4_16
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DOI: https://doi.org/10.1007/978-81-322-1823-4_16
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