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Energy‐Efficient Routing Using Fuzzy Neural Network in Wireless Sensor Networks

https://doi.org/10.1155/2021/5113591

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A logical calculus of the ideas immanent in nervous activity

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Energy Balanced Model for Lifetime Maximization in Randomly Distributed Wireless Sensor Networks

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Position-Based Beaconless Routing in Wireless Sensor Networks

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Green computing for wireless sensor networks: Optimization and Huffman coding approach

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Towards green communication in wireless sensor network: GA enabled distributed zone approach

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Fuzzy sets

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Neuro-fuzzy systems for function approximation

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The perceptron: A probabilistic model for information storage and organization in the brain.

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Models for integrating wireless sensor networks into the Internet of Things

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Neural-network-based fuzzy logic control and decision system

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Layered neural nets for pattern recognition

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30 years of adaptive neural networks: perceptron, Madaline, and backpropagation

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An online self-constructing neural fuzzy inference network and its applications

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Fuzzy Comprehensive Evaluation Method for Energy Management Systems Based on an Internet of Things

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Vehicular Multi-Access Edge Computing With Licensed Sub-6 GHz, IEEE 802.11p and mmWave

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ECH: An Enhanced Clustering Hierarchy Approach to Maximize Lifetime of Wireless Sensor Networks

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PEGASIS: Power-efficient gathering in sensor information systems

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Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks

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CHEF: Cluster Head Election mechanism using Fuzzy logic in Wireless Sensor Networks

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MADALINE RULE II: a training algorithm for neural networks

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FALCON: a fuzzy adaptive learning control network

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Energy-efficient fuzzy logic cluster head selection in wireless sensor networks

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An Enhanced Hierarchical Clustering Approach for Mobile Sensor Networks Using Fuzzy Inference Systems

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Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things

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Fuzzy-Based Channel Selection for Location Oriented Services in Multichannel VCPS Environments

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Fuzzy-Logic-Based Clustering Approach for Wireless Sensor Networks Using Energy Predication

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T-MQM: Testbed based Multi-metric Quality Measurement of Sensor Deployment for Precision Agriculture-A Case Study

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Energy Efficient Link-Delay Aware Routing in Wireless Sensor Networks

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Toward Energy-Oriented Optimization for Green Communication in Sensor Enabled IoT Environments

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Ant Colony Optimization Based Quality of Service Aware Energy Balancing Secure Routing Algorithm for Wireless Sensor Networks

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Quantum Learning-Enabled Green Communication for Next-Generation Wireless Systems

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HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks

inferredcites →https://doi.org/10.1109/tpds.2009.98openalex-snapshot

Energy-Efficient Beaconless Geographic Routing in Wireless Sensor Networks

inferredcites →https://doi.org/10.1109/tsmc.1985.6313399openalex-snapshot

Fuzzy identification of systems and its applications to modeling and control

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Toward Pre-Empted EV Charging Recommendation Through V2V-Based Reservation System

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An application-specific protocol architecture for wireless microsensor networks

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An Enhanced PEGASIS Algorithm with Mobile Sink Support for Wireless Sensor Networks

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PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS

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Maximum Data Generation Rate Routing Protocol based on Data Flow Controlling Technology for Rechargeable Wireless Sensor Networks

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Cross-Layer Energy Optimization for IoT Environments: Technical Advances and Opportunities

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An Affinity Propagation-Based Self-Adaptive Clustering Method for Wireless Sensor Networks

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Effective Cluster Head and Routing Scheme Estimation Using Mixed Attention‐Based Drift Enabled Federated Deep Reinforcement Learning in Wireless Sensor Networks

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Survey on energy efficient dynamic sink optimum routing for wireless sensor network and communication technologies

inferred← citeshttps://doi.org/10.1002/dac.6055openalex-snapshot

Fuzzy Based Energy Efficient Routing for IoT: Traffic Delay Optimization

inferred← citeshttps://doi.org/10.1007/978-3-031-84394-5_5openalex-snapshot

Machine Learning-Based Intelligent Approach for Energy Efficient Transmission in Wireless Communication: A Review

inferred← citeshttps://doi.org/10.1007/s10586-026-06394-1openalex-snapshot

ASGRR: Adaptive Swarm-Guided Graph Policy Routing for energy-efficient WSN-IoT networks

inferred← citeshttps://doi.org/10.1007/s11235-022-00955-6openalex-snapshot

Energy-aware neuro-fuzzy routing model for WSN based-IoT

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Fuzzy logic adaptive clustering with ML-based collision avoidance for wireless networks

inferred← citeshttps://doi.org/10.1007/s40815-022-01397-7openalex-snapshot

An Energy-Efficient Routing Framework Using Fuzzy Type 2 Hybrid Archimedes in Wireless Sensor Network

inferred← citeshttps://doi.org/10.1016/j.comnet.2022.109506openalex-snapshot

MCEN: Maximum cooperative equilibrium WSN based on greedy prediction to reduce opposite transmission

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Optimizing Energy Efficiency in Wireless Sensor Networks through Adaptive Neuro-Fuzzy Inference-Based Energy Harvesting

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Towards Energy-Efficient Computing with a Precision-Scalable SAE-Subspace KNN Approach

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A Semifixed Clustering Routing Protocol Based on Improved ACO Algorithm for WSNs

inferred← citeshttps://doi.org/10.11591/ijres.v11.i1.pp25-33openalex-snapshot

Energy saving on IoT using LoRa: a systematic literature review

inferred← citeshttps://doi.org/10.32604/iasc.2022.026263openalex-snapshot

Chaotic Krill Herd with Fuzzy Based Routing Protocol for Wireless Networks

inferred← citeshttps://doi.org/10.32604/iasc.2023.027076openalex-snapshot

Fuzzy with Metaheuristics Based Routing for Clustered Wireless Sensor Networks

inferred← citeshttps://doi.org/10.3390/s22228930openalex-snapshot

Energy-Efficient Routing Protocol for Selecting Relay Nodes in Underwater Sensor Networks Based on Fuzzy Analytical Hierarchy Process

inferred← citeshttps://doi.org/10.4236/jcc.2025.138001openalex-snapshot

Enhancements in WSN Energy Efficiency Using Machine Learning: A Comparative Analysis and Real-Time Challenges

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