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Green Computing in Sensors-Enabled Internet of Things: Neuro Fuzzy Logic-Based Load Balancing

https://doi.org/10.3390/electronics8040384

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What this work says

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

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Towards green computing in wireless sensor networks: Controlled mobility–aided balanced tree approach

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Enabling green computing in cloud environments: Network virtualization approach toward 5G support

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A logical calculus of the ideas immanent in nervous activity

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TraPy-MAC: Traffic Priority Aware Medium Access Control Protocol for Wireless Body Area Network

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

inferredcites →https://doi.org/10.1007/s11277-017-4584-6openalex-snapshot

Analytical Model of Deployment Methods for Application of Sensors in Non-hostile Environment

inferredcites →https://doi.org/10.1007/s12083-016-0511-yopenalex-snapshot

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

inferredcites →https://doi.org/10.1016/j.comcom.2017.10.003openalex-snapshot

Towards video streaming in IoT Environments: Vehicular communication perspective

inferredcites →https://doi.org/10.1016/j.jpdc.2011.05.003openalex-snapshot

Theoretical analysis of the lifetime and energy hole in cluster based wireless sensor networks

inferredcites →https://doi.org/10.1016/j.scs.2017.12.018openalex-snapshot

Towards green computing for Internet of things: Energy oriented path and message scheduling approach

inferredcites →https://doi.org/10.1016/s0019-9958(65)90241-xopenalex-snapshot

Fuzzy sets

inferredcites →https://doi.org/10.1016/s0165-0114(98)00169-9openalex-snapshot

Neuro-fuzzy systems for function approximation

inferredcites →https://doi.org/10.1037/h0042519openalex-snapshot

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

inferredcites →https://doi.org/10.1049/iet-wss.2016.0049openalex-snapshot

Models for integrating wireless sensor networks into the Internet of Things

inferredcites →https://doi.org/10.1109/12.106218openalex-snapshot

Neural-network-based fuzzy logic control and decision system

inferredcites →https://doi.org/10.1109/21.256541openalex-snapshot

ANFIS: adaptive-network-based fuzzy inference system

inferredcites →https://doi.org/10.1109/29.1638openalex-snapshot

Layered neural nets for pattern recognition

inferredcites →https://doi.org/10.1109/5.58323openalex-snapshot

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

inferredcites →https://doi.org/10.1109/72.159061openalex-snapshot

Learning and tuning fuzzy logic controllers through reinforcements

inferredcites →https://doi.org/10.1109/72.774229openalex-snapshot

Design of fuzzy systems using neurofuzzy networks

inferredcites →https://doi.org/10.1109/91.660805openalex-snapshot

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

inferredcites →https://doi.org/10.1109/access.2016.2603219openalex-snapshot

Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and Future Aspects

inferredcites →https://doi.org/10.1109/access.2017.2728081openalex-snapshot

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

inferredcites →https://doi.org/10.1109/access.2017.2781263openalex-snapshot

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

inferredcites →https://doi.org/10.1109/aero.2002.1035242openalex-snapshot

PEGASIS: Power-efficient gathering in sensor information systems

inferredcites →https://doi.org/10.1109/cnsr.2005.27openalex-snapshot

Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks

inferredcites →https://doi.org/10.1109/hicss.2000.926982openalex-snapshot

Energy-efficient communication protocol for wireless microsensor networks

inferredcites →https://doi.org/10.1109/icact.2008.4493846openalex-snapshot

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

inferredcites →https://doi.org/10.1109/icnn.1988.23872openalex-snapshot

MADALINE RULE II: a training algorithm for neural networks

inferredcites →https://doi.org/10.1109/jiot.2017.2717704openalex-snapshot

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

inferredcites →https://doi.org/10.1109/jiot.2018.2796639openalex-snapshot

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

inferredcites →https://doi.org/10.1109/jsen.2012.2204737openalex-snapshot

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

inferredcites →https://doi.org/10.1109/jsen.2015.2472970openalex-snapshot

A Fuzzy Logic-Based Clustering Algorithm for WSN to Extend the Network Lifetime

inferredcites →https://doi.org/10.1109/jsen.2016.2614748openalex-snapshot

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

inferredcites →https://doi.org/10.1109/mcom.2017.1600913openalex-snapshot

A Cost-Efficient Communication Framework for Battery-Switch-Based Electric Vehicle Charging

inferredcites →https://doi.org/10.1109/tmc.2004.41openalex-snapshot

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

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

Fuzzy identification of systems and its applications to modeling and control

inferredcites →https://doi.org/10.1109/twc.2002.804190openalex-snapshot

An application-specific protocol architecture for wireless microsensor networks

inferredcites →https://doi.org/10.21236/ad0256582openalex-snapshot

PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS

inferredcites →https://doi.org/10.3390/computers6010009openalex-snapshot

Traffic Priority-Aware Adaptive Slot Allocation for Medium Access Control Protocol in Wireless Body Area Network

inferredcites →https://doi.org/10.3390/en10122073openalex-snapshot

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

inferredcites →https://doi.org/10.3390/info8010003openalex-snapshot

Next Forwarding Node Selection in Underwater Wireless Sensor Networks (UWSNs): Techniques and Challenges

inferredcites →https://doi.org/10.3390/s141222342openalex-snapshot

Performance Improvement in Geographic Routing for Vehicular Ad Hoc Networks

What points at this work

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

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Artificial Intelligence and Machine Learning with IoT

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Study of Energy Efficient Technologies for Workload Processing in Data Centers

inferred← citeshttps://doi.org/10.1007/978-981-33-6081-5_13openalex-snapshot

Fuzzy Q-Reinforcement Learning-Based Energy Optimization in IoT Network

inferred← citeshttps://doi.org/10.1007/978-981-96-4391-2_31openalex-snapshot

Fuzzy Logic-Based Load Balancing for Network Traffic Management

inferred← citeshttps://doi.org/10.1007/s00500-023-08098-9openalex-snapshot

RETRACTED ARTICLE: Trust aware secured energy efficient fuzzy clustering-based protocol in wireless sensor networks

inferred← citeshttps://doi.org/10.1007/s11227-023-05091-9openalex-snapshot

An energy efficient routing scheme in internet of things enabled WSN: neuro-fuzzy approach

inferred← citeshttps://doi.org/10.1007/s11277-021-08101-2openalex-snapshot

A Novel QoS Based Secure Unequal Clustering Protocol with Intrusion Detection System in Wireless Sensor Networks

inferred← citeshttps://doi.org/10.1016/b978-0-12-822844-9.00036-0openalex-snapshot

Optimization in the sensor cloud: Taxonomy, challenges, and survey

inferred← citeshttps://doi.org/10.1016/j.comnet.2020.107707openalex-snapshot

Congestion free opportunistic multipath routing load balancing scheme for Internet of Things (IoT)

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Recent advancement of energy internet for emerging energy management technologies: Key features, potential applications, methods and open issues

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Energy efficient clustering with Heuristic optimization based Ro/uting protocol for VANETs

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Neuro‐fuzzy and fuzzy schemes for cooperative communication in wireless sensor network: a military battlefield scenario

inferred← citeshttps://doi.org/10.1080/00051144.2023.2241770openalex-snapshot

Software Defined Networking Controller (SDNC): a robust security architecture for SDN-based 5G networks

inferred← citeshttps://doi.org/10.1080/00051144.2023.2243143openalex-snapshot

Energy efficient congestion control scheme based on Modified Harris Hawks Optimization for heavy traffic Wireless Sensor Networks

inferred← citeshttps://doi.org/10.1080/09720529.2021.1932918openalex-snapshot

Towards data mining in IoT cloud computing networks : Collaborative filtering based recommended system

inferred← citeshttps://doi.org/10.1080/09720529.2021.1932932openalex-snapshot

Geometrical link aware geocast routing for energy balancing in wireless sensor networks

inferred← citeshttps://doi.org/10.1108/cw-09-2019-0117openalex-snapshot

Load balancing in the internet of things using fuzzy logic and shark smell optimization algorithm

inferred← citeshttps://doi.org/10.1109/gucon50781.2021.9573615openalex-snapshot

ML Based Strategy for Optimal Power Prediction in IoT

inferred← citeshttps://doi.org/10.1109/gucon50781.2021.9573729openalex-snapshot

Effect of Harvesting Unpredictability of resources in Energy Harvesting-WSN

inferred← citeshttps://doi.org/10.1109/gucon50781.2021.9573775openalex-snapshot

Green Communication: Optimal Charger Deployment based on TBM (OCD-TBM) in IoT

inferred← citeshttps://doi.org/10.1109/gucon50781.2021.9573937openalex-snapshot

Fuzzy K-means clustering (FKmC) to maximize the Energy Efficiency in Sensor-Enabled Internet of Things

inferred← citeshttps://doi.org/10.1109/ic3i61595.2024.10828677openalex-snapshot

Ultra-Low Power Designs and Strategies for Next-Generation Sensor Networks

inferred← citeshttps://doi.org/10.1109/icii.2019.00015openalex-snapshot

Deep Learning Based Offloading Scheme for IoT Networks Towards Green Computing

inferred← citeshttps://doi.org/10.1109/incoft60753.2023.10425744openalex-snapshot

Efficient Congestion Control Through Energy and Traffic-Aware Clustering In Future Wireless Sensor Networks

inferred← citeshttps://doi.org/10.1109/indicon49873.2020.9342200openalex-snapshot

Green Computing in Heterogeneous Internet of Things: Optimizing Energy Allocation Using SARSA-based Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/tnsm.2022.3145056openalex-snapshot

DECENT: Deep Learning Enabled Green Computation for Edge Centric 6G Networks

inferred← citeshttps://doi.org/10.1155/2021/5575802openalex-snapshot

Traffic and Energy Aware Optimization for Congestion Control in Next Generation Wireless Sensor Networks

inferred← citeshttps://doi.org/10.12785/ijcds/1201107openalex-snapshot

Elongate the network lifetime using Adaptive Network-Based Fuzzy Inference System in wireless sensor networks

inferred← citeshttps://doi.org/10.20517/jsegc.2021.01openalex-snapshot

Review on the Interactions of Green Computing and Computational Intelligence techniques and their Applications to Real-World Problems

inferred← citeshttps://doi.org/10.20517/jsegc.2022.06openalex-snapshot

Green computing: a realistic evaluation of energy consumption for building load forecasting computation

inferred← citeshttps://doi.org/10.21203/rs.3.rs-4273245/v1openalex-snapshot

Energy Efficient Congestion Control using Rank-based Ant-Colony Optimization and Random Forest Regression (RAC-RFR) in Wireless Sensor Network

inferred← citeshttps://doi.org/10.21203/rs.3.rs-714669/v1openalex-snapshot

Blockchain Based Intelligent Incentive Enabled Information Sharing Scheme in Future Generation IoV Networks

inferred← citeshttps://doi.org/10.2166/wqrj.2021.018openalex-snapshot

Predicting H2S emission from gravity sewer using an adaptive neuro-fuzzy inference system

inferred← citeshttps://doi.org/10.2174/2210327912666220726150049openalex-snapshot

Intelligent Load Balancing Algorithms for Internet of Things - A Review

inferred← citeshttps://doi.org/10.22266/ijies2021.1231.03openalex-snapshot

Timer Based Optimized Clustering for Lifetime Enhancement in WSN

inferred← citeshttps://doi.org/10.32604/cmc.2022.019122openalex-snapshot

Type II Fuzzy Logic Based Cluster Head Selection for Wireless Sensor Network

inferred← citeshttps://doi.org/10.32604/iasc.2021.016405openalex-snapshot

Energy Aware Clustering with Multihop Routing Algorithm for Wireless Sensor Networks

inferred← citeshttps://doi.org/10.3390/electronics8111243openalex-snapshot

Design Methodology for the Implementation of Fuzzy Inference Systems Based on Boolean Relations

inferred← citeshttps://doi.org/10.7287/peerj-cs.1029v0.1/reviews/1openalex-snapshot

Peer Review #1 of "A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1029v0.1/reviews/2openalex-snapshot

Peer Review #2 of "A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1029v0.1/reviews/3openalex-snapshot

Peer Review #3 of "A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1029v0.2/reviews/1openalex-snapshot

Peer Review #1 of "A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks (v0.2)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1029v0.2/reviews/2openalex-snapshot

Peer Review #2 of "A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks (v0.2)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1029v0.2/reviews/4openalex-snapshot

Peer Review #4 of "A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks (v0.2)"

inferred← citeshttps://doi.org/10.7717/peerj-cs.1029openalex-snapshot

A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks

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