Abstract
Due to limitations of resource in wireless sensor networks (WSNs) enhancing the network lifetime has been of great concern. An efficient routing algorithm is known as clustering algorithm based routing protocol. In which getting optimal cluster heads (CHs) and a number of them has been defiance. In this paper, a new fuzzy clustering algorithm is proposed to maximize the lifetime of WSNs. Network field in this approach, contains two types of sensors: free sensors that communicate directly with sink, and clustered sensors that send the sensed data to the sink through CHs which are preselected. This approach uses fuzzy logic to select free sensor nodes and CHs with four fuzzy parameters. These parameters are energy level of sink and sensor proximity to the sink in terms of free sensors selection, and energy level of sensor node and centrality of sensors in terms of CHs selection. The main goal of our algorithm is to extend the lifetime of WSNs by minimizing distributing the workload on CHs. The simulation results show that our proposed is more efficient than SET protocol.
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Yick, J., Mukherjee, B., Ghosal, D.: Wireless sensor network survey. Comput. Netw. 52(12), 2292–2330 (2008)
Anastasi, G., et al.: Energy conservation in wireless sensor networks: a survey. Ad Hoc Netw. 7(3), 537–568 (2009)
Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)
Lee, J.-S.: A Petri net design of command filters for semiautonomous mobile sensor networks. IEEE Trans. Ind. Electron. 55(4), 1835–1841 (2008)
Saleh, S., et al.: A survey on energy awareness mechanisms in routing protocols for wireless sensor networks using optimization methods. Trans. Emerg. Telecommun. Technol. 25(12), 1184–1207 (2014)
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. IEEE (2000)
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)
Manjeshwar, A., Agrawal, D.P.: TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In: IPDPS, vol. 1 (2001)
Smaragdakis, G., Bestavros, A., Matta, I.: SEP: a Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks. Boston University Computer Science Department (2004)
Qing, L., Zhu, Q., Wang, M.: Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks. Comput. Commun. 29(12), 2230–2237 (2006)
El Alami, H., Najid, A.: (SET) smart energy management and throughput maximization: a new routing protocol for WSNs. In: Security Management in Mobile Cloud Computing. IGI Global, pp. 1–28 (2017)
Kim, J.-M., et al.: CHEF: cluster head election mechanism using fuzzy logic in wireless sensor networks. In: 10th International Conference on Advanced Communication Technology, ICACT 2008, vol. 1. IEEE (2008)
Lee, J.-S., Cheng, W.-L.: Fuzzy-logic-based clustering approach for wireless sensor networks using energy predication. IEEE Sens. J. 12(9), 2891–2897 (2012)
El Alami, H., Najid, A.: SEFP: a new routing approach using fuzzy logic for clustered heterogeneous wireless sensor networks. Int. J. Smart Sens. Intell. Syst. 8(9), 2286–2306 (2015)
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El Alami, H., Najid, A. (2018). A New Fuzzy Clustering Algorithm to Enhance Lifetime of Wireless Sensor Networks. In: Abraham, A., Haqiq, A., Ella Hassanien, A., Snasel, V., Alimi, A. (eds) Proceedings of the Third International Afro-European Conference for Industrial Advancement — AECIA 2016. AECIA 2016. Advances in Intelligent Systems and Computing, vol 565. Springer, Cham. https://doi.org/10.1007/978-3-319-60834-1_8
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DOI: https://doi.org/10.1007/978-3-319-60834-1_8
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