Abstract
Battery energy is limited in Wireless Sensor Networks (WSNs); thus energy is a key element in designing WSNs. In particular, the effective utilization of energy becomes the major challenge during the design of routing protocols for WSNs, and the ultimate aim of the routing protocols is to extend the network lifespan of Wireless Sensor Networks by efficiently utilizing node energy. Clustering is one kind of mechanism in Wireless Sensor Networks to prolong the network lifetime and to reduce overall energy consumption. This paper used fuzzy logic for electing cluster heads based on 7 different descriptors–(delay, distance from the base station, RSSI, density, residual energy, location suitability, and Compacting) in each round. Dedicated network coder nodes in the bottleneck zone used network coding algorithms to improve data transmission rate. This sequentially improves the overall network lifetime. NS2 simulation tool and C++ programming language have been used to simulate and implement the proposed routing protocol. The simulation results proved that EEE-FL-NC protocol outperforms based on throughput, energy consumption, and the average lifetime of the network while comparing with the state-of-the art protocols like FL-NC-EEC, LEACH, K-means-LEACH, FL-EEC, and F-LEACH- [1]/D.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Jasim, A.A., Idris, M.Y.I., Razalli Bin Azzuhri, S., Issa, N.R., Rahman, M.T.: Energy-efficient wireless sensor network with an unequal clustering protocol based on a balanced energy method (EEUCB). Sensors 21(3), 784 (2021)
Abuhmida, M., Radhakrishnan, K., Wells, I.: Performance evaluation of mobile Ad Hoc routing protocols on wireless sensor networks for environmental monitoring. In: 2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim), pp. 544–548. IEEE (2015, March)
Shemim, K.F., Witkowski, U.: Energy efficient clustering protocols in WSNs: performance analysis and comparison of EEAHP protocol with LEACH and EAMMH using MATLAB. In: 2020 Advances in Science and Engineering Technology International Conferences (ASET), pp. 1–5. IEEE (2020)
Amri, S., Khelifi, F., Bradai, A., Rachedi, A., Kaddachi, M.L., Atri, M.: A new fuzzy logic based node localization mechanism for wireless sensor networks. Futur. Gener. Comput. Syst. 93, 799–813 (2019)
Shemim, F., Shajahan, S.: Enhanced energy aware multi-hop hierarchical routing algorithm for wireless sensor networks. In: 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA), pp. 1–4. IEEE (2017, November)
Fathima Shemim. K.S, Dr. Witkowski, U.: Improving lifespan of wireless sensor networks using fuzzy logic clustering and network coding (FL-NC) techniques. In: Int. J. Adv. Sci. Technol. 29(10s), 8172–8182 (2020). http://sersc.org/journals/index.php/IJAST/article/view/24267. Accessed 10 Jan 2021
Sun, Q.T., Yin, X., Li, Z., Long, K.: Multicast network coding and field sizes. IEEE Trans. Inf. Theory 61(11), 6182–6191 (2015)
Zhang, Y., Wang, J., Han, D., Wu, H., Zhou, R.: Fuzzy-logic based distributed energy-efficient clustering algorithm for wireless sensor networks. Sensors 17(7), 1554 (2017)
Park, G.Y., Kim, H., Jeong, H.W., Youn, H.Y.: A novel cluster head selection method based on K-means algorithm for energy efficient wireless sensor network. In:2013 27th International Conference on Advanced Information Networking and Applications Workshops, pp. 910–915. IEEE (2013, March)
Mohamed, R.E., Saleh, A.I., Abdelrazzak, M., Samra, A.S.: Survey on wireless sensor network applications and energy efficient routing protocols. Wirel. Pers. Commun. 101(2), 1019–1055 (2018)
El-Sayed, H.H.: Performance Evaluation of Clustering EAMMH, LEACH SEP, TEEN Protocols in WSN (2018)
Kafaie, S., Chen, Y.P., Dobre, O.A., Ahmed, M.H.: Network coding implementation details: A guidance document (2018). arXiv:1801.02120
Kandris, D., Tsioumas, P., Tzes, A., Pantazis, N., Vergados, D.D.: Hierarchical energy efficient routing in wireless sensor networks. In: 2008 16th Mediterranean Conference on Control and Automation, pp. 1856–1861. IEEE (2018, June)
Radhika, S., Rangarajan, P.: On improving the lifespan of wireless sensor networks with fuzzy based clustering and machine learning based data reduction. Appl. Soft. Comput. 83, (2019)
Tamandani, Y.K., Bokhari, M.U.: SEPFL routing protocol based on fuzzy logic control to extend the lifetime and throughput of the wireless sensor network. Wirel. Netw. 22(2), 647–653 (2016)
Elshrkawey, M., Elsherif, S.M., Wahed, M.E.: An enhancement approach for reducing the energy consumption in wireless sensor networks. J. King Saud Univ. Comput. Inf. Sci, 30(2), 259–267 (2018)
Liu, X.: Atypical hierarchical routing protocols for wireless sensor networks: a review. IEEE Sens. J. 15(10), 5372–5383 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Fathima Shemim, K.S., Witkowski, U. (2022). Enhanced Energy-Efficient Fuzzy Logic Clustering and Network Coding Strategy for Wireless Sensor Networks (EEE-FL-NC). In: Bianchini, M., Piuri, V., Das, S., Shaw, R.N. (eds) Advanced Computing and Intelligent Technologies. Lecture Notes in Networks and Systems, vol 218. Springer, Singapore. https://doi.org/10.1007/978-981-16-2164-2_5
Download citation
DOI: https://doi.org/10.1007/978-981-16-2164-2_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-2163-5
Online ISBN: 978-981-16-2164-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)