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An optimal energy‐efficient clustering method in wireless sensor networks using multi‐objective genetic algorithm

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What this work says

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

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Protocols and Architectures for Wireless Sensor Networks
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Wireless Sensor Networks
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An Elitist Genetic Algorithm for Multiobjective Optimization
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PEGASIS: Power-efficient gathering in sensor information systems
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Evolutionary Genetic Algorithm for Efficient Clustering of Wireless Sensor Networks
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Energy-efficient communication protocol for wireless microsensor networks
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A niched Pareto genetic algorithm for multiobjective optimization
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Base Station Assisted Hierarchical Cluster-Based Routing
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TEEN: a routing protocol for enhanced efficiency in wireless sensor networks
inferredcites →https://doi.org/10.1109/iswpc.2007.342578openalex-snapshot
Genetic Algorithm Based Approach for Extending the Lifetime of Two-Tiered Sensor Networks
inferredcites →https://doi.org/10.1109/itng.2007.97openalex-snapshot
Genetic Algorithm for Energy Efficient Clusters in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/lsp.2008.916731openalex-snapshot
A Semidefinite Programming Approach to Source Localization in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/mwc.2004.1368893openalex-snapshot
Routing techniques in wireless sensor networks: a survey
inferredcites →https://doi.org/10.1109/tnet.2006.890084openalex-snapshot
A Cross-Layer Architecture of Wireless Sensor Networks for Target Tracking
inferredcites →https://doi.org/10.1109/tpds.2007.70800openalex-snapshot
Localization In Wireless Sensor Networks Based on Support Vector Machines
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A Novel Subspace Approach for Cooperative Localization in Wireless Sensor Networks Using Range Measurements
inferredcites →https://doi.org/10.1109/twc.2006.04770openalex-snapshot
Cross-Layer Design for Lifetime Maximization in Interference-Limited Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/vetecs.2008.570openalex-snapshot
Throughput vs. Distance Tradeoffs and Deployment Considerations for a Multi-Hop IEEE 802.16e Railroad Test Bed
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Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms
inferredcites →https://doi.org/10.1201/9781420010749-33openalex-snapshot
Ant Colony Optimization
inferredcites →https://doi.org/10.2514/6.1991-1040openalex-snapshot
Genetic search strategies in multicriterion optimal design
inferredcites →https://doi.org/10.3929/ethz-a-003856832openalex-snapshot
Evolutionary algorithms for multiobjective optimization: methods and applications
inferredcites →https://doi.org/10.4304/jnw.2.5.87-97openalex-snapshot
Genetic Algorithm for Hierarchical Wireless Sensor Networks
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems
inferredcites →https://doi.org/10.7551/mitpress/1290.001.0001openalex-snapshot
Ant Colony Optimization

What points at this work

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

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