OntoDSO: an ontological-based dolphin swarm optimization (DSO) approach to perform energy efficient routing in Wireless Sensor Networks (WSNs)
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41870-023-01698-6.pdf
Reference21 articles.
1. Wang J, Gao Y, Liu W, Sangaiah AK, Kim HJ (2019) Energy efficient routing algorithm with mobile sink support for Wireless Sensor Networks. Sensors. https://doi.org/10.3390/s19071494
2. Meena N, Singh B (2023) An efficient coverage and connectivity maintenance using optimal adaptive learning in WSNs. Int j inf tecnol 15:4491–4504. https://doi.org/10.1007/s41870-023-01514-1
3. Warrier MM and Kumar A (2016) Energy efficient routing in Wireless Sensor Networks: a survey In: International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, India, pp 1987–1992, https://doi.org/10.1109/WiSPNET.2016.7566490
4. Teja KG and Sivasakthiselvan S (2022) Performance improvement of data gathering in underwater Wireless Sensor Network using robust energy efficient adaptive routing protocol with comparison over energy efficient data gathering algorithm. In: International Conference on Business Analytics for Technology and Security (ICBATS), Dubai, United Arab Emirates, 2022, pp 1–5, https://doi.org/10.1109/ICBATS54253.2022.9759046
5. Rajoriya MK, Gupta CP (2023) Sailfish optimization-based controller selection (SFO-CS) for energy-aware multi-hop routing in software defined wireless sensor network (SDWSN). Int J Inf Tecnol 15:3935–3948. https://doi.org/10.1007/s41870-023-01426-0
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