On the public citation graph

Energy-Efficient and Fair Clustering in Wireless Sensor Networks: A Co-Evolutionary Hybrid Approach Combining Genetic Algorithm, Differential Evolution, and HEED

https://doi.org/10.2139/ssrn.6580125
0 signed · 22 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/s10586-024-04368-9openalex-snapshot
An enhanced sea-horse optimizer for solving global problems and cluster head selection in wireless sensor networks
inferredcites →https://doi.org/10.1007/s11276-020-02435-8openalex-snapshot
Energy optimized micro genetic algorithm based LEACH protocol for WSN
inferredcites →https://doi.org/10.1007/s12065-020-00546-xopenalex-snapshot
Analysis on dual algorithms for optimal cluster head selection in wireless sensor network
inferredcites →https://doi.org/10.1007/s13748-016-0104-2openalex-snapshot
A review on the coral reefs optimization algorithm: new development lines and current applications
inferredcites →https://doi.org/10.1016/j.comcom.2007.05.024openalex-snapshot
A survey on clustering algorithms for wireless sensor networks
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.isatra.2021.06.027openalex-snapshot
BTA-MM: Burst traffic awareness-based adaptive mobility model with mobile sinks for heterogeneous wireless sensor networks
inferredcites →https://doi.org/10.1016/j.jksuci.2022.01.007openalex-snapshot
TEO-MCRP: Thermal exchange optimization-based clustering routing protocol with a mobile sink for wireless sensor networks
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.swevo.2022.101151openalex-snapshot
A genetic algorithm inspired optimized cluster head selection method in wireless sensor networks
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/10.11591/ijece.v13i6.pp6476-6488openalex-snapshot
Energy efficient data transmission using multiobjective improved remora optimization algorithm for wireless sensor network with mobile sink
inferredcites →https://doi.org/10.14513/actatechjaur.00742openalex-snapshot
Optimise Energy Consumption of Wireless Sensor Networks by using modified Ant Colony Optimization
inferredcites →https://doi.org/10.21917/ijct.2020.0340openalex-snapshot
CLUSTER HEAD SELECTION OPTIMIZATION IN WIRELESS SENSOR NETWORK VIA GENETIC-BASED EVOLUTIONARY ALGORITHM
inferredcites →https://doi.org/10.24425/ijet.2022.143888openalex-snapshot
Performance Analysis of LEACH with Deep Learning in Wireless Sensor Networks
inferredcites →https://doi.org/10.31127/tuje.1488192openalex-snapshot
Scalable Multi-Clustering Aggregation Scheme in WSN Using Machine Learning
inferredcites →https://doi.org/10.3390/computers12020035openalex-snapshot
Energy-Efficient Cluster Head Selection in Wireless Sensor Networks Using an Improved Grey Wolf Optimization Algorithm
inferredcites →https://doi.org/10.3390/s22249921openalex-snapshot
Optimal Cluster Head Selection in WSN with Convolutional Neural Network-Based Energy Level Prediction
inferredcites →https://doi.org/10.3390/s25175250openalex-snapshot
EEL-GA: An Evolutionary Clustering Framework for Energy-Efficient 3D Wireless Sensor Networks in Smart Forestry
inferredcites →https://doi.org/10.52783/cana.v31.1247openalex-snapshot
Optimizing Cluster Head Selection in Wireless Sensor Networks Using Mathematical Modeling and Statistical Analysis of The Hybrid Energy-Efficient Distributed (HEED) Algorithm
inferredcites →https://doi.org/10.53759/7669/jmc202404062openalex-snapshot
Energy Efficient Data Aggregation in Wireless Sensor Networks Using Meta Heuristic Based Feed Forward Back Propagation Neural Network Approach
inferredcites →https://doi.org/10.54216/jisiot.110201openalex-snapshot
Energy Efficient Cluster Head Selection Using Hybrid RL-PSO Approach
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.