A survey of energy-efficient clustering routing protocols for wireless sensor networks based on metaheuristic approaches
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-023-10402-w.pdf
Reference77 articles.
1. Al Aghbari Z et al (2020) Routing in wireless sensor networks using optimization techniques: a survey. Wirel Pers Commun 111(4):2407–2434. https://doi.org/10.1007/s11277-019-06993-9
2. Amjad M et al (2017) QoS-aware and heterogeneously clustered routing protocol for wireless sensor networks. IEEE Access 5:10250–10262. https://doi.org/10.1109/ACCESS.2017.2712662
3. Anastasi G et al (2009) Energy conservation in wireless sensor networks: a survey. Ad Hoc Netw 7(3):537–568. https://doi.org/10.1016/j.adhoc.2008.06.003
4. Arjunan S, Pothula S (2019) A survey on unequal clustering protocols in wireless sensor networks. J King Saud Univ Comput Inform Sci 31(3):304–317. https://doi.org/10.1016/j.jksuci.2017.03.006
5. Banerjee A et al. (2022) Chapter 3 - Impacts of metaheuristic and swarm intelligence approach in optimization. In: Mishra, S. et al. (eds) Cognitive big data intelligence with a metaheuristic approach. Academic Press (cognitive data science in sustainable computing), pp 71–99. doi: https://doi.org/10.1016/B978-0-323-85117-6.00008-X.
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