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Bio-Inspired Hybrid Optimization Algorithms for Energy Efficient Wireless Sensor Networks: A Comprehensive Review
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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/dac.3448openalex-snapshot
FUCA: Fuzzy‐based unequal clustering algorithm to prolong the lifetime of wireless sensor networks
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A New Metaheuristic Bat-Inspired Algorithm
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Flower Pollination Algorithm for Global Optimization
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Clusterhead Selection Using Multiple Attribute Decision Making (MADM) Approach in Wireless Sensor Networks
inferredcites →https://doi.org/10.1007/978-981-10-7566-7_27openalex-snapshot
Hybrid Genetic Algorithm–Differential Evolution Approach for Localization in WSN
inferredcites →https://doi.org/10.1007/s00366-018-0668-5openalex-snapshot
A novel hybrid PSO–GWO algorithm for optimization problems
inferredcites →https://doi.org/10.1007/s00500-014-1286-9openalex-snapshot
A modified differential evolution-based combined routing and sleep scheduling scheme for lifetime maximization of wireless sensor networks
inferredcites →https://doi.org/10.1007/s00500-018-3310-yopenalex-snapshot
An improved hybrid grey wolf optimization algorithm
inferredcites →https://doi.org/10.1007/s00521-019-04441-0openalex-snapshot
A hybrid firefly algorithm with particle swarm optimization for energy efficient optimal cluster head selection in wireless sensor networks
inferredcites →https://doi.org/10.1007/s00707-009-0270-4openalex-snapshot
A novel heuristic optimization method: charged system search
inferredcites →https://doi.org/10.1007/s10699-019-09593-9openalex-snapshot
Increasing Energy Efficiency in Wireless Sensor Networks Using GA-ANFIS to Choose a Cluster Head and Assess Routing and Weighted Trusts to Demodulate Attacker Nodes
inferredcites →https://doi.org/10.1007/s10898-007-9149-xopenalex-snapshot
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
inferredcites →https://doi.org/10.1007/s11227-018-2261-5openalex-snapshot
Distributed unequal clustering algorithm in large-scale wireless sensor networks using fuzzy logic
inferredcites →https://doi.org/10.1007/s11227-021-03671-1openalex-snapshot
Hierarchical clustering and routing protocol to ensure scalability and reliability in large-scale wireless sensor networks
inferredcites →https://doi.org/10.1007/s11276-012-0438-zopenalex-snapshot
Cluster based wireless sensor network routing using artificial bee colony algorithm
inferredcites →https://doi.org/10.1007/s11276-018-1696-1openalex-snapshot
Comprehensive review for energy efficient hierarchical routing protocols on wireless sensor networks
inferredcites →https://doi.org/10.1007/s11277-019-06223-2openalex-snapshot
A Grey Wolf Optimization Approach for Improving the Performance of Wireless Sensor Networks
inferredcites →https://doi.org/10.1007/s11277-020-07882-2openalex-snapshot
Automata Based Hybrid PSO–GWO Algorithm for Secured Energy Efficient Optimal Routing in Wireless Sensor Network
inferredcites →https://doi.org/10.1007/s12647-020-00366-5openalex-snapshot
An Approach to Optimize Homogeneous and Heterogeneous Routing Protocols in WSN Using Sink Mobility
inferredcites →https://doi.org/10.1007/s12652-017-0619-9openalex-snapshot
A hierarchical hybrid of genetic algorithm and particle swarm optimization for distributed clustering in large-scale wireless sensor networks
inferredcites →https://doi.org/10.1007/s12652-020-01909-zopenalex-snapshot
Load balanced clustering scheme using hybrid metaheuristic technique for mobile sink based wireless sensor networks
inferredcites →https://doi.org/10.1007/s13369-017-2868-5openalex-snapshot
A Distributed Fault Tolerance Mechanism for Self-Maintenance of Clusters in Wireless Sensor Networks
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The Whale Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.aeue.2014.10.023openalex-snapshot
A new evolutionary based application specific routing protocol for clustered wireless sensor networks
inferredcites →https://doi.org/10.1016/j.amc.2014.10.091openalex-snapshot
Optimization deployment of wireless sensor networks based on culture–ant colony algorithm
inferredcites →https://doi.org/10.1016/j.apm.2017.10.001openalex-snapshot
A new hybrid algorithm for continuous optimization problem
inferredcites →https://doi.org/10.1016/j.asej.2016.03.004openalex-snapshot
Lifetime Improvement in Wireless Sensor Networks using Hybrid Differential Evolution and Simulated Annealing (DESA)
inferredcites →https://doi.org/10.1016/j.asoc.2014.08.064openalex-snapshot
A novel differential evolution based clustering algorithm for wireless sensor networks
inferredcites →https://doi.org/10.1016/j.cosrev.2020.100342openalex-snapshot
Nature-inspired algorithms for Wireless Sensor Networks: A comprehensive survey
inferredcites →https://doi.org/10.1016/j.engappai.2014.04.009openalex-snapshot
Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach
inferredcites →https://doi.org/10.1016/j.ins.2009.03.004openalex-snapshot
GSA: A Gravitational Search Algorithm
inferredcites →https://doi.org/10.1016/j.jksus.2018.04.031openalex-snapshot
Fuzzy based enhanced cluster head selection (FBECS) for WSN
inferredcites →https://doi.org/10.1016/j.jnca.2013.07.010openalex-snapshot
Ant colony optimization with greedy migration mechanism for node deployment in wireless sensor networks
inferredcites →https://doi.org/10.1016/j.procs.2014.08.086openalex-snapshot
Construction of Data Aggregation Tree for Multi-objectives in Wireless Sensor Networks through Jump Particle Swarm Optimization
inferredcites →https://doi.org/10.1016/j.procs.2015.07.461openalex-snapshot
Cluster Head Selection Optimization Based on Genetic Algorithm to Prolong Lifetime of Wireless Sensor Networks
inferredcites →https://doi.org/10.1016/j.procs.2015.12.028openalex-snapshot
The Design of an Optimal and Secure Routing Model in Wireless Sensor Networks by Using PSO Algorithm
inferredcites →https://doi.org/10.1016/j.swevo.2016.03.003openalex-snapshot
Hybrid HSA and PSO algorithm for energy efficient cluster head selection in wireless sensor networks
inferredcites →https://doi.org/10.1016/j.swevo.2020.100772openalex-snapshot
GAPSO-H: A hybrid approach towards optimizing the cluster based routing in wireless sensor network
inferredcites →https://doi.org/10.1016/s1005-8885(14)60267-3openalex-snapshot
Improved ant colony-based multi-constrained QoS energy-saving routing and throughput optimization in wireless Ad-hoc networks
inferredcites →https://doi.org/10.1049/cmu2.12072openalex-snapshot
Hybrid grey wolf sunflower optimisation algorithm for energy‐efficient cluster head selection in wireless sensor networks for lifetime enhancement
inferredcites →https://doi.org/10.1109/3477.484436openalex-snapshot
Ant system: optimization by a colony of cooperating agents
inferredcites →https://doi.org/10.1109/access.2019.2920248openalex-snapshot
Long-Term Routing Stability of Wireless Sensor Networks in a Real-World Environment
inferredcites →https://doi.org/10.1109/confluence.2019.8776618openalex-snapshot
Nature Inspired Algorithms for Energy Efficient Clustering in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/icaci.2017.7974501openalex-snapshot
Impact of grey wolf optimization on WSN cluster formation and lifetime expansion
inferredcites →https://doi.org/10.1109/icis.2018.8466458openalex-snapshot
An Improved Artificial Fish Swarm Algorithm and its Application
inferredcites →https://doi.org/10.1109/icmlc.2018.8526982openalex-snapshot
An Improved Glowworm Swarm Optimization Algorithm
inferredcites →https://doi.org/10.1109/icnets2.2017.8067897openalex-snapshot
An energy-efficient cluster head selection of LEACH protocol for wireless sensor networks
inferredcites →https://doi.org/10.1109/iscbi.2016.7743266openalex-snapshot
Grey wolf optimization-based energy-efficient routing protocol for heterogeneous wireless sensor networks
inferredcites →https://doi.org/10.1109/jiot.2018.2883403openalex-snapshot
Data Collection for Security Measurement in Wireless Sensor Networks: A Survey
inferredcites →https://doi.org/10.1109/jiot.2019.2897119openalex-snapshot
Residual Energy-Based Cluster-Head Selection in WSNs for IoT Application
inferredcites →https://doi.org/10.1109/jiot.2019.2900763openalex-snapshot
Load-Balanced Data Dissemination for Wireless Sensor Networks: A Nature-Inspired Approach
inferredcites →https://doi.org/10.1109/jsen.2015.2512322openalex-snapshot
Dynamic Cluster Head Selection Method for Wireless Sensor Network
inferredcites →https://doi.org/10.1109/rait.2018.8389082openalex-snapshot
A hybrid PSO-GA algorithm for routing in wireless sensor network
inferredcites →https://doi.org/10.1109/tevc.2008.919004openalex-snapshot
Biogeography-Based Optimization
inferredcites →https://doi.org/10.1109/tvt.2015.2508504openalex-snapshot
A Hybrid Genetic Algorithm for the Minimum Exposure Path Problem of Wireless Sensor Networks Based on a Numerical Functional Extreme Model
inferredcites →https://doi.org/10.1109/wict.2011.6141370openalex-snapshot
Cuckoo Search Clustering Algorithm: A novel strategy of biomimicry
inferredcites →https://doi.org/10.11591/eei.v6i1.598openalex-snapshot
Energy Aware Heuristic approach for Cluster Head Selection in Wireless Sensor Networks
inferredcites →https://doi.org/10.1504/ijbic.2009.022775openalex-snapshot
The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm
inferredcites →https://doi.org/10.17485/ijst/2016/v9i15/77749openalex-snapshot
Energy Efficinet Cluster Head Selection and Data Convening in Wireless Sensor Networks
inferredcites →https://doi.org/10.22247/ijcna/2020/205319openalex-snapshot
Cluster Head Election in Wireless Sensor Network: A Comprehensive Study and Future Directions
inferredcites →https://doi.org/10.3390/s100605425openalex-snapshot
A Differential Evolution-Based Routing Algorithm for Environmental Monitoring Wireless Sensor Networks
inferredcites →https://doi.org/10.3837/tiis.2018.06.011openalex-snapshot
Energy-Efficient Routing Protocol for Wireless Sensor Networks Based on Improved Grey Wolf Optimizer
inferredcites →https://doi.org/10.4108/eai.13-7-2018.164856openalex-snapshot
Study on Evolutionary Approaches for Improving the Energy Efficiency of Wireless Sensor Networks Applications
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Metaheuristic optimization‐based clustering with routing protocol in wireless sensor networks
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DeepCuckoo: A Synergistic Approach Using Deep Learning and Bioinspired Cuckoo Search for Optimized Energy‐Efficient Cluster Head Selection in 5G and Advanced Wireless Sensor Networks
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Improving Security and Efficiency in WSN Through Intelligent Routing and Optimization Techniques
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Optimizing cluster head selection for energy efficiency in wireless sensor networks: A hybrid algorithm combining grey wolf and enhanced sunflower optimization
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Centroid-Enhanced Whale Optimization Algorithm for Node Localization in WSNs
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Bio-inspired and hybrid evolutionary optimization for robust resource allocation in imperfect-CSI wireless networks: a narrative review of algorithms, applications, and real-world implementation challenges
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