With the rise of the Internet of Things, the application fields of wireless sensor networks (WSN) continue to expand. From agriculture to urban infrastructure monitoring, application requirements in various fields are increasing. The research focuses on designing and improving energy-efficient coverage methods for wireless sensor network nodes, with ...
Runliang Jia, Haiyu Zhang
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Energy-Efficient Optimization in Wireless Sensor Networks Using a Hybrid Bat-Artificial Bee Colony Algorithm. [PDF]
Mohammed HS +4 more
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Wireless sensor network design with reliable and long network lifetime. [PDF]
Çelik E, Keskin ME.
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Multi-Probing Opportunistic Routing in Buffer-Constrained Wireless Sensor Networks. [PDF]
Sun N, Cao S, Liu X, Gao Y, Xu Y, Liu J.
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Deep learning-based HTTP TRACE flood detection in wireless sensor network using deep spectral multi-layer convolutional neural network. [PDF]
Tamilselvi S +3 more
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Evolutionary reinforcement learning framework for energy-efficient fault resilience and topological stability in WSNs. [PDF]
Lakshmi S +3 more
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An efficient prediction based data collection method for wireless sensor networks using hybrid fuzzy clustering and optimized deep maxout neural networks. [PDF]
Padmini Devi B +3 more
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A hybrid metaheuristic algorithm with machine learning for detecting denial-of-service attacks in wireless sensor networks. [PDF]
Prasad A, Arockiasamy K, Gunasekaran K.
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Energy optimized scheduling in wireless sensor networks (WSNs) using hybrid bio-inspired reinforcement learning approach. [PDF]
Sarobin MVR +5 more
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Energy-Aware adaptive virtualization and migration protocol for green IoT wireless sensor networks. [PDF]
Liu Y, Li Y, Ge N.
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