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An Energy‐Proficient Clustering‐Inspired Routing Protocol using Improved Bkd‐tree for Enhanced Node Stability and Network Lifetime in Wireless Sensor Networks

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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.2780openalex-snapshot
EEMHR: Energy‐efficient multilevel heterogeneous routing protocol for wireless sensor networks
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Energy‐efficient routing protocol to improve energy consumption in wireless sensors networks
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An Efficient Energy-Hole Alleviating Algorithm for Wireless Sensor Network Based on Energy-Balanced Clustering Protocol
inferredcites →https://doi.org/10.1007/s10586-017-1550-8openalex-snapshot
A clustering WSN routing protocol based on node energy and multipath
inferredcites →https://doi.org/10.1007/s10586-017-1603-zopenalex-snapshot
Performance analysis of cluster based homogeneous sensor network using energy efficient N-policy (EENP) model
inferredcites →https://doi.org/10.1007/s11235-014-9884-5openalex-snapshot
A lifetime extended multi-levels heterogeneous routing protocol for wireless sensor networks
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An energy efficient routing protocol for correlated data using CL-LEACH in WSN
inferredcites →https://doi.org/10.1007/s11276-016-1414-9openalex-snapshot
Impact of the energy-based and location-based LEACH secondary cluster aggregation on WSN lifetime
inferredcites →https://doi.org/10.1007/s11277-017-4914-8openalex-snapshot
WPO-EECRP: Energy-Efficient Clustering Routing Protocol Based on Weighting and Parameter Optimization in WSN
inferredcites →https://doi.org/10.1007/s11277-020-07259-5openalex-snapshot
A Hybrid Grey Wolf and Crow Search Optimization Algorithm-Based Optimal Cluster Head Selection Scheme for Wireless Sensor Networks
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Energy-efficient chain-cluster based intelligent routing technique for wireless sensor networks
inferredcites →https://doi.org/10.1016/j.compeleceng.2016.07.009openalex-snapshot
An energy efficient multi-level route-aware clustering algorithm for wireless sensor networks: A self-organized approach
inferredcites →https://doi.org/10.1016/j.jksuci.2019.12.006openalex-snapshot
Hybrid Artificial Bee Colony and Monarchy Butterfly Optimization Algorithm (HABC-MBOA)-based cluster head selection for WSNs
inferredcites →https://doi.org/10.1016/j.jnca.2012.12.001openalex-snapshot
A systematic review on clustering and routing techniques based upon LEACH protocol for wireless sensor networks
inferredcites →https://doi.org/10.1016/j.jnca.2014.07.015openalex-snapshot
LA-EEHSC: Learning automata-based energy efficient heterogeneous selective clustering for wireless sensor networks
inferredcites →https://doi.org/10.1016/j.jnca.2015.03.004openalex-snapshot
A systematic review on heterogeneous routing protocols for wireless sensor network
inferredcites →https://doi.org/10.1016/j.pmcj.2015.01.005openalex-snapshot
Cognitive radio-based clustering for opportunistic shared spectrum access to enhance lifetime of wireless sensor network
inferredcites →https://doi.org/10.1016/j.pmcj.2017.11.003openalex-snapshot
ARBIC: An Adjustable Range Based Immune hierarchy Clustering protocol supporting mobility of Wireless Sensor Networks
inferredcites →https://doi.org/10.1016/j.procs.2018.10.407openalex-snapshot
A Hybrid Ant Colony and Artificial Bee Colony Optimization Algorithm-based Cluster Head Selection for IoT
inferredcites →https://doi.org/10.1049/iet-wss.2011.0074openalex-snapshot
Nodes self-scheduling approach for maximising wireless sensor network lifetime based on remaining energy
inferredcites →https://doi.org/10.1049/iet-wss.2012.0150openalex-snapshot
Performance analysis of energy efficient clustering protocols for maximising lifetime of wireless sensor networks
inferredcites →https://doi.org/10.1049/iet-wss.2015.0087openalex-snapshot
Energy efficient clustering protocol based on K‐means (EECPK‐means)‐midpoint algorithm for enhanced network lifetime in wireless sensor network
inferredcites →https://doi.org/10.1109/glocom.2017.8254440openalex-snapshot
Sensor Cloud Based Measurement to Management System for Precise Irrigation
inferredcites →https://doi.org/10.1109/glocomw.2018.8644227openalex-snapshot
Base Station Oriented Multi Route Diversity Protocol for Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/icacci.2013.6637399openalex-snapshot
EHE-LEACH: Enhanced heterogeneous LEACH protocol for lifetime enhancement of wireless SNs
inferredcites →https://doi.org/10.1109/icc.2015.7248873openalex-snapshot
Bayesian Coalition Game-based optimized clustering in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/iccsp.2018.8524143openalex-snapshot
VSMART— A Simulation Tool for Performance Analysis of Wireless Sensor Node Using Queue Threshold
inferredcites →https://doi.org/10.1109/iccsp.2018.8524171openalex-snapshot
Performance Analysis of Contention Based Priority Queuing Model Using N-Policy Model for Cluster Based Sensor Networks
inferredcites →https://doi.org/10.1109/jsyst.2018.2818618openalex-snapshot
LA-MHR: Learning Automata Based Multilevel Heterogeneous Routing for Opportunistic Shared Spectrum Access to Enhance Lifetime of WSN
inferredcites →https://doi.org/10.1504/ijict.2014.063223openalex-snapshot
Reliability factor-based mathematical model for isolating selfish nodes in MANETs
inferredcites →https://doi.org/10.3390/s16091459openalex-snapshot
Fuzzy C-Means Clustering and Energy Efficient Cluster Head Selection for Cooperative Sensor Network
inferredcites →https://doi.org/10.3390/s18030881openalex-snapshot
An Energy-Balanced Clustering Protocol Based on an Improved CFSFDP Algorithm for Wireless Sensor Networks
inferredcites →https://doi.org/10.3390/s18051520openalex-snapshot
An Energy Centric Cluster-Based Routing Protocol for Wireless Sensor Networks
inferredcites →https://doi.org/10.3390/s18092899openalex-snapshot
A Clustering WSN Routing Protocol Based on k-d Tree Algorithm
inferredcites →https://doi.org/10.4236/wsn.2016.86010openalex-snapshot
A Tree-Based Distributed Permutation Routing Protocol in Multi-Hop Wireless Sensors Network
inferredcites →https://doi.org/10.5121/ijassn.2012.2101openalex-snapshot
Energy Efficient Maximum Lifetime Routing For Wireless Sensor Network
inferredcites →https://doi.org/10.5121/ijassn.2013.3201openalex-snapshot
A QoI Based Energy Efficient Clustering for Dense Wireless Sensor Network
inferredcites →https://doi.org/10.5815/ijcnis.2013.06.08openalex-snapshot
Exploiting SIMD Instructions in Modern Microprocessors to Optimize the Performance of Stream Ciphers
inferredcites →https://doi.org/10.5815/ijcnis.2013.10.01openalex-snapshot
Security Algorithms for Mitigating Selfish and Shared Root Node Attacks in MANETs
inferredcites →https://doi.org/10.9781/ijimai.2017.432openalex-snapshot
An analytic Study of the Key Factors Influencing the Design and Routing Techniques of a Wireless Sensor Network

What points at this work

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

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Hybrid grasshopper and Harris hawk optimization algorithm‐based energy efficient routing protocol for extending network lifetime in wireless sensor networks
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Hybrid Red Deer and Improved Fireworks Optimization Algorithm–based Clustering Protocol for improving network longevity with energy stability in WSNs
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Energy‐Efficient Cluster‐Based Reliable Routing Using Hybrid Nutcracker and Improved Sand Cat Optimization Algorithm for Extending Network Lifetime in WSNs
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Modified African buffalo and group teaching optimization algorithm‐based clustering scheme for sustaining energy stability and network lifetime in wireless sensor networks
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Border Collie optimization algorithm‐based node clustering technique in vehicular ad hoc networks
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Spiking Quantum Fire Hawk Network Based Reliable Scheduling for Lifetime Maximization of Wireless Sensor Network
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Self-Adaptive Cuckoo Search-Based Cluster Head Selection for Maximizing Network Lifetime in Wireless Sensor Networks
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Improved Symbiosis Organism Search Algorithm-Based Clustering Scheme for Enhancing Longevity in Wireless Sensor Networks (WSNs)
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Differential Evolution-Improved Dragonfly Algorithm-Based Optimal Radius Determination Technique for Achieving Enhanced Lifetime in IoT
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COPRAS-Based Decision-Making Strategy for Optimal Cluster Head Selection in WSNs
inferred← citeshttps://doi.org/10.1007/978-981-97-1724-8_67openalex-snapshot
American Zebra Optimization Algorithm-based Clustering Protocol for Reliable Data Routing in Internet of Things
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Hybrid Swarm Intelligence Approach for Energy Efficient Clustering and Routing in Wireless Sensor Networks
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An Unequal Cluster-Based Routing Mechanism Using Lyrebird Optimization Algorithm to Achieve Network Longevity in WSNs
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ELECTRE I-based Zone Head Selection in WSN-Enabled Internet of Things
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Multi-objective Energy Centric Remora Optimization Algorithm for Wireless Sensor Network
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Energy-Proficient Adaptive Queuing Model-Based Clustering Scheme for Improving Network Lifetime in Wireless Sensor Networks
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Hybrid Stochastic Ranking and Opposite Differential Evolution-Based Enhanced Firefly Optimization Algorithm for Extending Network Lifetime Through Efficient Clustering in WSNs
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Fuzzy Based Unequal Clustering and Context-Aware Routing Based on Glow-Worm Swarm Optimization in Wireless Sensor Networks: Forest Fire Detection
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Self Adapting Differential Search Strategies Improved Artificial Bee Colony Algorithm-Based Cluster Head Selection Scheme for WSNs
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Hybrid Mutualism Mechanism-Inspired Butterfly and Flower Pollination Optimization Algorithm for Lifetime Improving Energy‐Efficient Cluster Head Selection in WSNs
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Improved Salp Swarm and Bare Bones Mayfly Optimization Algorithm-based CH Selection and Sink Node Mobility for improving Network Longevity in WSNs
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An optimal model for enhancing network lifetime and cluster head selection using hybrid snake whale optimization
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Delay-Aware Electric Eel and Improved Aquila Algorithm-based Energy efficient Clustering with Mobile Sink for improved lifetime in WSNs
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An energy-aware self-adaptive differential evoluted bear smell optimization algorithm for sustaining network lifetime in WSNs
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A novel cluster head selection using Hybrid Artificial Bee Colony and Firefly Algorithm for network lifetime and stability in WSNs
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Implementation of Modified Grasshopper and Differential Evolution-based Optimization Scheme for Network Stability in WSN
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Enhanced Route Discovery Mechanism Using Improved CH Selection Using Q-Learning to Minimize Delay
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Role of Clustering, Routing Protocols, MAC protocols and Load Balancing in Wireless Sensor Networks: An Energy-Efficiency Perspective
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An Energy-Efficient Protocol for Internet of Things Based Wireless Sensor Networks
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An Improved Lifetime and Energy Consumption with Enhanced Clustering in WSNs
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