Abstract
The ability of wireless sensor network (WSN) can be observed in different fields like patient wearable monitoring, health applications, intruder detection, combat monitoring and battlefield surveillance in the last few years. In such applications, WSN contains a wide range of sensor nodes, which will monitor continuously, and passes the data to end-user through base station (BS) or sink node (SN). In such applications where users are unattended to replace the sensor node frequently, that indicates users can expect long-lasting of WSN. So in this paper, we concentrated on long-lasting of WSN, by minimizing the energy utilization of sensor node in WSN. So we are applying the clustering technique. So, clustering will minimize the energy usage of the sensor node, such that it will improve the lifetime of WSN. In this, we introduced our proposed protocol “Low Energy Utilization with Dynamic Cluster Head (LEU-DCH)” which reduces the energy consumption of sensor nodes. Besides, we also have shown the best way of selecting how many clusters we need.
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References
K.K. Kho, Y. Bissessur, D.S. Goolaub, An inland wireless sensor network system for monitoring seismic activity. Future Gener. Comput. Syst. 105, 520–532 (2020)
S.A. Nikolidakis, D. Kandis, D.D. Vergados, C. Douligeris, Energy efficient automated control of irrigation in agriculture by using wireless sensor networks. Comput. Electron. Agric. 113, 154–163 (2015)
M.E. Celebi, H. Kingravi, Deterministic initialization of the K-means algorithm using hierarchical clustering. Int. J. Pattern Recogn. Artif. Intell. 26(7), 1250018 (2012)
Thakkar, K. Kotecha, CVLEACH: coverage based energy efficient LEACH algorithm. Int. J. Comput. Sci. Netw. (IJCSN) 1(5), 10–21 (2012)
Thakkar, K. Kotecha, WALLACH: weight based energy efficient advanced LEACH algorithm. Comput. Sci. Inf. Technol. (CS & IT) 2(4), 21–31 (2012)
R. Yadav, V. Kumar, R. Kumar, Energy-efficient hybrid clustering protocol for multilevel heterogeneous wireless sensor network, in 2014 International Conference on Computer and Communications Technologies (ICCCT) (IEEE, 2014), pp. 1–5
S. Faisal, N. Javaid, A. Javaid, M. Khan, S.H. Bouk, Z. Khan, Z-SEP: zonal-stable election protocol for wireless sensor networks. arXiv preprint arXiv:1303.5364 (2013)
R. Pal, R. Sindhu, A.K. Sharma, SEP-E (RCH): enhanced stable election protocol based on redundant cluster head selection for HWSNs, in International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (Springer, Berlin, 2013), pp. 104–114
H. Jiang, S. Jin, C. Wang, Prediction or not an energy-efficient framework for clustering-based data collection in wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 22(6), 1064–1071 (2011)
O. Younis, S. Fahmy, HEED: a hybrid, energy-efficient, distributed clustering approach for ad-hoc sensor networks. IEEE Trans. Mobile Comput. 3, 366–379 (2004)
R. Soua, P. Minet, A survey on energy efficient techniques in wireless sensor networks. IEEE Technical Program at IFIP WMNC (2011)
T.N. Qureshi, T. Shah, N. Javaid, EESAA: energy efficient sleep awake aware intelligent sensor network routing protocol, in Proceedings of 15th International Multi-Topic Conference (INMIC), Islamabad, PK (2012)
F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, Wireless sensor networks: a survey. Comput. Netw. 38(4), 25–32 (2011)
S. Lindsey, C.S. Raghvendra, PEGASIS: power efficient gathering in the sensor information system, Los Angeles, CA, 90009-2957
N. Thirupathi Rao, D. Bhattacharyya, T. Kim, Black hole attacks on WSNs using discrete simulator: an extensive review. Int. J. Grid Distrib. Comput. 11(12), 33–42 (2018)
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NagaMallik Raj, S., Midhunchakkaravarthy, D., Bhattacharyya, D. (2021). Low Energy Utilization with Dynamic Cluster Head (LEU-DCH)—For Reducing the Energy Consumption in Wireless Sensor Networks. In: Bhattacharyya, D., Thirupathi Rao, N. (eds) Machine Intelligence and Soft Computing. Advances in Intelligent Systems and Computing, vol 1280. Springer, Singapore. https://doi.org/10.1007/978-981-15-9516-5_30
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DOI: https://doi.org/10.1007/978-981-15-9516-5_30
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