On the public citation graph
Multi‐objective cluster head‐based energy aware routing using optimized auto‐metric graph neural network for secured data aggregation in Wireless Sensor Network
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1 of the 38 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.3233/jifs-220480 (notice 2025-01-15).
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dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ett.4205openalex-snapshotI‐FBECS : Improved fuzzy based energy efficient clustering using biogeography based optimization in wireless sensor network
inferredcites →https://doi.org/10.1002/ett.4558openalex-snapshotSecure forensic data transmission system in cloud database using fuzzy based butterfly optimization and modified ECC
inferredcites →https://doi.org/10.1007/s00034-021-01850-2openalex-snapshotAn Efficient VLSI Architecture for Fast Motion Estimation Exploiting Zero Motion Prejudgment Technique and a New Quadrant-Based Search Algorithm in HEVC
inferredcites →https://doi.org/10.1007/s11042-022-12302-7openalex-snapshotTaylor-spotted hyena optimization algorithm for reliable and energy-efficient cluster head selection based secure data routing and failure tolerance in WSN
inferredcites →https://doi.org/10.1016/j.scs.2019.101995openalex-snapshotLSDAR: A light-weight structure based data aggregation routing protocol with secure internet of things integrated next-generation sensor networks
inferredcites →https://doi.org/10.1049/cmu2.12128openalex-snapshotAn energy efficient data gathering scheme for wireless sensor networks using hybrid crow search algorithm
inferredcites →https://doi.org/10.3233/jifs-220480openalex-snapshotData sampling approach using heuristic Learning Vector Quantization (LVQ) classifier for software defect prediction
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/dac.5974openalex-snapshotHybrid ELECTRE and bipolar fuzzy PROMOTHEE‐based packet dropping malicious node mitigation technique for improving QoS in WSNs
inferred← citeshttps://doi.org/10.1002/dac.70081openalex-snapshotOptimizing Secure Data Transmission in Cognitive IoT‐WSN: An Energy‐Aware Approach With Hybrid POA‐SCA and Block Chain Technology
inferred← citeshttps://doi.org/10.1002/dac.70095openalex-snapshotTrust‐Based Multi‐Objective Cluster Head Selection for Optimal and Secure Routing in Wireless Networks
inferred← citeshttps://doi.org/10.1002/dac.70355openalex-snapshotMultimetric‐Based Optimization of Cluster Selection and Data Redundancy Elimination Through Copula Variational LSTM in Wireless Sensor Networks
inferred← citeshttps://doi.org/10.1002/dac.70499openalex-snapshotA Novel Framework for Energy‐Efficient Routing and Robust Cluster Head Selection in Wireless Sensor Networks Utilizing Deep Kronecker Neural Networks and Hybrid Metaheuristic Optimization
inferred← citeshttps://doi.org/10.1007/s11235-024-01176-9openalex-snapshotEnergy-efficient cluster head selection in wireless sensor networks-based internet of things (IoT) using fuzzy-based Harris hawks optimization
inferred← citeshttps://doi.org/10.1007/s12083-025-02165-8openalex-snapshotEnhanced cluster head selection and energy efficient routing using optimized dual-path multi‐scale attention guided network in WSN environment
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113902openalex-snapshotA MADM framework for classifying wireless sensor networks in industrial automation and monitoring using hesitant bipolar complex fuzzy dombi power operators
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122993openalex-snapshotTheoretical analysis and comparative study of assorted diaphragm primarily based Micro Electro Mechanical System (MEMS) optical pressure sensors
inferred← citeshttps://doi.org/10.1016/j.ijleo.2026.172809openalex-snapshotSecure routing and data aggregation in block chain based wireless sensor networks utilizing multi component attention graph convolutional neural network with brown bear optimization for improved resource management
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112039openalex-snapshotOptimizing energy-efficient cluster head selection in wireless sensor networks using a binarized spiking neural network and honey badger algorithm
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.105836openalex-snapshotEnhanced multi-level K-means clustering and cluster head selection using a modernized pufferfish optimization algorithm for lifetime maximization in wireless sensor networks
inferred← citeshttps://doi.org/10.1142/s0218126625504882openalex-snapshotEnhanced Data Security in Wireless Sensor Networks Through Multi-Objective Energy-Aware Routing Utilizing Interpretable Generalized Additive Neural Network Approach
inferred← citeshttps://doi.org/10.2139/ssrn.6473762openalex-snapshotFEDL: Algorithmic Co-design of Federated and Continual Learning for Resource-Constrained Non-Stationary Environments
inferred← citeshttps://doi.org/10.3233/jifs-236739openalex-snapshotEfficient malicious node detection by multi-objective energy trust aware hybrid optimization based maximizing lifetime of wireless sensor networks
inferred← citeshttps://doi.org/10.3390/s24061993openalex-snapshotSecurity Enhancement for Deep Reinforcement Learning-Based Strategy in Energy-Efficient Wireless Sensor Networks
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