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Grey wolf optimizer
10.1016/j.advengsoft.2013.12.007 · 2014
Particle swarm optimization
1995
The whale optimization algorithm
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10.1016/j.jnca.2013.04.001 · 2014
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Reinforcement learning: an introduction
10.1109/tnn.1998.712192 · 1998
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FROMS: feedback routing for optimizing multiple sinks in WSN with reinforcement learning
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2007
QELAR: a machine-learning-based adaptive routing protocol for energy-efficient and lifetime-extended underwater sensor networks
10.1109/tmc.2010.28 · 2010
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On study of multiset dimension in fuzzy zero divisor graphs associated with commutative rings
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Adaptive enhanced grey wolf optimizer for efficient cluster head selection and network lifetime maximization in wireless sensor networks
2026
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2022
Improved link net-based energy prediction: clustering-based routing and improved kernel-LMS algorithm for data aggregation in WSN
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10.1109/tmc.2023.3235446 · 2024
WOAD3QN-RP: an intelligent routing protocol in wireless sensor networks—a swarm intelligence and deep reinforcement learning based approach
10.1016/j.eswa.2023.123089 · 2024
RLBEEP: reinforcement-learning-based energy efficient control and routing protocol for wireless sensor networks
10.1109/access.2022.3167058 · 2022
Asymmetric lightweight cryptographic-based secure routing technique in IoT-based WSN via optimal path selection using hybrid optimization algorithm
10.1016/j.knosys.2025.114720 · 2025
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10.1007/s11277-021-09192-7 · 2022
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Multiple agent based reinforcement learning for energy efficient routing in WSN
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RLBEEP: reinforcement-learning-based energy efficient control and routing protocol for wireless sensor networks
10.1109/access.2022.3167058 · doi-reference
WOAD3QN-RP: an intelligent routing protocol in wireless sensor networks—a swarm intelligence and deep reinforcement learning based approach
10.1016/j.eswa.2023.123089 · doi-reference
Routing optimization with deep reinforcement learning in knowledge defined networking
10.1109/tmc.2023.3235446 · doi-reference
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10.1016/j.measurement.2020.107835 · doi-reference
Improved link net-based energy prediction: clustering-based routing and improved kernel-LMS algorithm for data aggregation in WSN
10.1016/j.compeleceng.2025.110855 · doi-reference
Energy efficient cluster routing protocol for wireless sensor networks using hybrid metaheuristic approache’s
10.1016/j.adhoc.2024.103473 · doi-reference
Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm
10.1038/s41598-024-54910-3 · doi-reference
On study of multiset dimension in fuzzy zero divisor graphs associated with commutative rings
10.1007/s44196-024-00706-2 · doi-reference
Energy-efficient intelligent routing scheme for IoT-enabled WSNs
10.1109/jiot.2021.3051768 · doi-reference
Security enhancement for deep reinforcement learning-based strategy in energy-efficient wireless sensor networks
10.3390/s24061993 · doi-reference
Deep reinforcement learning resource allocation in wireless sensor networks with energy harvesting and relay
10.1109/jiot.2021.3094465 · doi-reference
QELAR: a machine-learning-based adaptive routing protocol for energy-efficient and lifetime-extended underwater sensor networks
10.1109/tmc.2010.28 · doi-reference
Improving the software-defined wireless sensor networks routing performance using reinforcement learning
10.1109/jiot.2021.3102130 · doi-reference
Reinforcement-learning based energy efficient optimized routing protocol for WSN
10.1007/s12083-022-01315-6 · doi-reference
Reinforcement learning: an introduction
10.1109/tnn.1998.712192 · doi-reference
Hybrid fusion paradigm in advanced process monitoring: a panoramic review and future perspectives
10.1021/acs.iecr.5c02759 · doi-reference
A survey on intelligent routing protocols in wireless sensor networks
10.1016/j.jnca.2013.04.001 · doi-reference
Deep reinforcement learning for network routing optimization: a systematic survey
10.1016/j.neucom.2025.132263 · doi-reference
Optimized RNN-based performance prediction of IoT and WSN-oriented smart city application using improved honey Badger algorithm
10.1016/j.measurement.2023.112505 · doi-reference
The whale optimization algorithm
10.1016/j.advengsoft.2016.01.008 · doi-reference
Grey wolf optimizer
10.1016/j.advengsoft.2013.12.007 · doi-reference
A survey of energy-efficient clustering routing protocols for wireless sensor networks based on metaheuristic approaches
10.1007/s10462-023-10402-w · doi-reference
AI-driven energy-efficient routing in IoT-Based wireless sensor networks: a comprehensive review
10.3390/s25247408 · doi-reference
A survey on routing protocols for wireless sensor networks
10.1016/j.adhoc.2003.09.010 · doi-reference
Wireless sensor networks: from fundamentals and applications to innovations and future trends
10.1109/access.2025.3572328 · doi-reference