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Load‐balanced data gathering in Internet of Things using an energy‐aware cuckoo‐search algorithm

https://doi.org/10.1002/dac.4385
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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.

1 of the 42 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s00500-019-03928-1 (notice 2024-08-19).

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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.3174openalex-snapshot
Analysis, design and simulation of Internet of Things routing algorithm based on ant colony optimization
inferredcites →https://doi.org/10.1002/dac.3864openalex-snapshot
IoT‐based wireless body area networks for disaster cases
inferredcites →https://doi.org/10.1007/s00500-017-2837-7openalex-snapshot
Clustering-based Optimized HEED protocols for WSNs using bacterial foraging optimization and fuzzy logic system
inferredcites →https://doi.org/10.1007/s00500-019-03928-1openalex-snapshot
RETRACTED ARTICLE: An evolutionary multipath energy-efficient routing protocol (EMEER) for network lifetime enhancement in wireless sensor networks
inferredcites →https://doi.org/10.1007/s10766-017-0512-3openalex-snapshot
Guest Editorial: High-Level Parallel Programming with Algorithmic Skeletons
inferredcites →https://doi.org/10.1007/s10766-018-0586-6openalex-snapshot
Energy Optimization of PR-LEACH Routing Scheme Using Distance Awareness in Internet of Things Networks
inferredcites →https://doi.org/10.1007/s11276-017-1459-4openalex-snapshot
A boolean spider monkey optimization based energy efficient clustering approach for WSNs
inferredcites →https://doi.org/10.1007/s11276-017-1566-2openalex-snapshot
Multi-objective fractional gravitational search algorithm for energy efficient routing in IoT
inferredcites →https://doi.org/10.1007/s11277-014-2251-8openalex-snapshot
A Distributed Cluster Computing Energy-Efficient Routing Scheme for Internet of Things Systems
inferredcites →https://doi.org/10.1007/s11277-019-06127-1openalex-snapshot
Meta-heuristic Ant Colony Optimization Based Unequal Clustering for Wireless Sensor Network
inferredcites →https://doi.org/10.1007/s12652-018-1154-zopenalex-snapshot
RETRACTED ARTICLE: An adaptive fuzzy rule based energy efficient clustering and immune-inspired routing protocol for WSN-assisted IoT system
inferredcites →https://doi.org/10.1016/j.adhoc.2003.09.010openalex-snapshot
A survey on routing protocols for wireless sensor networks
inferredcites →https://doi.org/10.1016/j.aeue.2018.09.005openalex-snapshot
Distributed trajectory design for data gathering using mobile sink in wireless sensor networks
inferredcites →https://doi.org/10.1016/j.asoc.2015.11.044openalex-snapshot
DUCF: Distributed load balancing Unequal Clustering in wireless sensor networks using Fuzzy approach
inferredcites →https://doi.org/10.1016/j.comnet.2016.01.009openalex-snapshot
Cloud-assisted Industrial Internet of Things (IIoT) – Enabled framework for health monitoring
inferredcites →https://doi.org/10.1016/j.comnet.2019.01.024openalex-snapshot
Energy aware cluster and neuro-fuzzy based routing algorithm for wireless sensor networks in IoT
inferredcites →https://doi.org/10.1016/j.engappai.2017.11.003openalex-snapshot
Integrated clustering and routing protocol for wireless sensor networks using Cuckoo and Harmony Search based metaheuristic techniques
inferredcites →https://doi.org/10.1016/j.jclepro.2016.10.006openalex-snapshot
A review of Internet of Things for smart home: Challenges and solutions
inferredcites →https://doi.org/10.1016/j.jnca.2018.01.012openalex-snapshot
On the performance of sink placement in WSNs considering energy-balanced compressive sensing-based data aggregation
inferredcites →https://doi.org/10.1109/access.2016.2578298openalex-snapshot
An Efficient Tree-Based Self-Organizing Protocol for Internet of Things
inferredcites →https://doi.org/10.1109/access.2017.2749606openalex-snapshot
An Efficient Centroid-Based Routing Protocol for Energy Management in WSN-Assisted IoT
inferredcites →https://doi.org/10.1109/access.2019.2913912openalex-snapshot
Hybrid Self-Organized Clustering Scheme for Drone Based Cognitive Internet of Things
inferredcites →https://doi.org/10.1109/access.2019.2923924openalex-snapshot
Reliability-Based Cluster Head Selection Methodology Using Fuzzy Logic for Performance Improvement in WSNs
inferredcites →https://doi.org/10.1109/access.2019.2924919openalex-snapshot
A Type of Energy-Balanced Tree Based Data Collection Strategy for Sensor Network With Mobile Sink
inferredcites →https://doi.org/10.1109/access.2019.2929578openalex-snapshot
EESRA: Energy Efficient Scalable Routing Algorithm for Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/access.2019.2942321openalex-snapshot
An Energy-Efficient Region Source Routing Protocol for Lifetime Maximization in WSN
inferredcites →https://doi.org/10.1109/access.2019.2944669openalex-snapshot
Clustering Routing Algorithm and Simulation of Internet of Things Perception Layer Based on Energy Balance
inferredcites →https://doi.org/10.1109/access.2019.2946683openalex-snapshot
An Energy-Efficient Off-Loading Scheme for Low Latency in Collaborative Edge Computing
inferredcites →https://doi.org/10.1109/etfa.2016.7733516openalex-snapshot
Energy-aware routing scheme in industrial wireless sensor networks for Internet of Things systems
inferredcites →https://doi.org/10.1109/fskd.2012.6233907openalex-snapshot
Improvement of LEACH protocol for WSN
inferredcites →https://doi.org/10.1109/hicss.2000.926982openalex-snapshot
Energy-efficient communication protocol for wireless microsensor networks
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.2019.2940988openalex-snapshot
I-SEP: An Improved Routing Protocol for Heterogeneous WSN for IoT-Based Environmental Monitoring
inferredcites →https://doi.org/10.1109/jsyst.2015.2469676openalex-snapshot
An Energy-Efficient Architecture for the Internet of Things (IoT)
inferredcites →https://doi.org/10.1109/mcom.2017.1600514openalex-snapshot
Internet-of-Things-Based Smart Cities: Recent Advances and Challenges
inferredcites →https://doi.org/10.1109/wcnc.2018.8377171openalex-snapshot
An energy-efficient clustering routing algorithm for WSN-assisted IoT
inferredcites →https://doi.org/10.1155/2018/9472075openalex-snapshot
An Enhanced PEGASIS Algorithm with Mobile Sink Support for Wireless Sensor Networks
inferredcites →https://doi.org/10.1177/1550147719839581openalex-snapshot
An intelligent data gathering schema with data fusion supported for mobile sink in wireless sensor networks
inferredcites →https://doi.org/10.32604/cmc.2019.05450openalex-snapshot
An Asynchronous Clustering and Mobile Data Gathering Schema Based on Timer Mechanism in Wireless Sensor Networks
inferredcites →https://doi.org/10.3390/s19030741openalex-snapshot
Tracking and Estimation of Multiple Cross-Over Targets in Clutter
inferredcites →https://doi.org/10.3390/s19040829openalex-snapshot
Enhanced Three Layer Hybrid Clustering Mechanism for Energy Efficient Routing in IoT
inferredcites →https://doi.org/10.3970/cmc.2018.04132openalex-snapshot
A PSO based Energy Efficient Coverage Control Algorithm for Wireless Sensor Networks

What points at this work

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

inferred← citeshttps://doi.org/10.1002/dac.4498openalex-snapshot
Scheduling data aggregation trees to extend network lifetime in sensor networks
inferred← citeshttps://doi.org/10.1002/dac.4837openalex-snapshot
Relay selection, clustering, and data aggregation routing in wireless body area networks
inferred← citeshttps://doi.org/10.1002/dac.5450openalex-snapshot
The importance of nature‐inspired metaheuristic algorithms in the data routing and path finding problem in the internet of things
inferred← citeshttps://doi.org/10.1002/dac.5962openalex-snapshot
A survey on network lifetime maximization using data aggregation trees
inferred← citeshttps://doi.org/10.1007/s11227-022-04341-6openalex-snapshot
Course scheduling algorithm based on improved binary cuckoo search
inferred← citeshttps://doi.org/10.1007/s11235-020-00714-5openalex-snapshot
Energy balanced data gathering approaches, issues and research directions
inferred← citeshttps://doi.org/10.1007/s11276-025-03948-wopenalex-snapshot
Improving energy efficiency via the use of IoT technologies with intelligent network clustering
inferred← citeshttps://doi.org/10.1016/j.adhoc.2021.102770openalex-snapshot
Dynamic Compressive Data Gathering using Angle-based Random Walk in Hybrid WSNs
inferred← citeshttps://doi.org/10.1016/j.energy.2025.137348openalex-snapshot
Optimization of battery swapping station for electric vehicles by novel adaptive GWO algorithm
inferred← citeshttps://doi.org/10.1016/j.yofte.2020.102327openalex-snapshot
Improving acceptance rate of QoS-guaranteed point-to-multipoint traffic flows in elastic optical networks
inferred← citeshttps://doi.org/10.1038/s41598-025-01033-yopenalex-snapshot
Mutation adaptive cuckoo search hybridized naked mole rat algorithm for industrial engineering problems
inferred← citeshttps://doi.org/10.17993/3cemp.2022.110250openalex-snapshot
inferred← citeshttps://doi.org/10.17993/3cemp.2022.110250.232-248openalex-snapshot
Empirical analysis of machine learning-based energy efficient cloud load balancing architectures: a quantitative perspective
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3854165/v1openalex-snapshot
RETRACTED: Improving Energy Efficiency Using IoT Technology through the Development of a Smart Network Clustering Path Determined by the Distance between Nodes
inferred← citeshttps://doi.org/10.3390/electronics11030313openalex-snapshot
Recent Studies Utilizing Artificial Intelligence Techniques for Solving Data Collection, Aggregation and Dissemination Challenges in Wireless Sensor Networks: A Review
inferred← citeshttps://doi.org/10.3390/s21165580openalex-snapshot
Modeling Optimal Location Distribution for Deployment of Flying Base Stations as On-Demand Connectivity Enablers in Real-World Scenarios
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