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A distributed, multi‐hop, adaptive, tree‐based energy‐balanced routing approach

https://doi.org/10.1002/dac.3949
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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 25 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s12083-017-0607-z (notice 2022-10-08).

Dataset join, best-effort; this page does not check the publisher record. Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0); dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).

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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.2720openalex-snapshot
Energy‐efficient multi‐level and distance‐aware clustering mechanism for WSNs
inferredcites →https://doi.org/10.1007/s12083-016-0514-8openalex-snapshot
A tree-based topology construction algorithm with probability distribution and competition in the same layer for wireless sensor network
inferredcites →https://doi.org/10.1007/s12083-017-0607-zopenalex-snapshot
RETRACTED ARTICLE: Energy efficient topology management scheme based on clustering technique for software defined wireless sensor network
inferredcites →https://doi.org/10.1007/s12083-017-0619-8openalex-snapshot
Cooperative channel allocation and scheduling in multi-interface wireless mesh networks
inferredcites →https://doi.org/10.1007/s12652-019-01186-5openalex-snapshot
ACO optimized self-organized tree-based energy balance algorithm for wireless sensor network
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.compeleceng.2014.07.019openalex-snapshot
Energy efficient fault tolerant clustering and routing algorithms 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.compeleceng.2017.10.007openalex-snapshot
An energy efficient clustering scheme using multilevel routing for wireless sensor network
inferredcites →https://doi.org/10.1016/j.compeleceng.2018.03.018openalex-snapshot
Hybrid energy-efficient multi-path routing 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.future.2013.09.012openalex-snapshot
An energy-saving routing architecture with a uniform clustering algorithm for wireless body sensor networks
inferredcites →https://doi.org/10.1016/j.ijleo.2016.04.041openalex-snapshot
A survey on LEACH and other’s routing protocols in wireless sensor network
inferredcites →https://doi.org/10.1016/j.jksuci.2017.11.007openalex-snapshot
An optimized QoS-based clustering with multipath routing protocol for Wireless Sensor Networks
inferredcites →https://doi.org/10.1016/j.jnca.2012.07.014openalex-snapshot
Termite-hill: Performance optimized swarm intelligence based routing algorithm for wireless sensor networks
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.2016.2598719openalex-snapshot
Recent Advances in Energy-Efficient Routing Protocols for Wireless Sensor Networks: A Review
inferredcites →https://doi.org/10.1109/aero.2002.1035242openalex-snapshot
PEGASIS: Power-efficient gathering in sensor information systems
inferredcites →https://doi.org/10.1109/jcn.2014.000072openalex-snapshot
Clustering and communications scheduling in WSNs using mixed integer linear programming
inferredcites →https://doi.org/10.1109/jsen.2015.2445796openalex-snapshot
Atypical Hierarchical Routing Protocols for Wireless Sensor Networks: A Review
inferredcites →https://doi.org/10.1109/surv.2012.062612.00084openalex-snapshot
Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey
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/10.1109/tns.2014.2309351openalex-snapshot
A General Self-Organized Tree-Based Energy-Balance Routing Protocol for Wireless Sensor Network
inferredcites →https://doi.org/10.1109/waina.2010.62openalex-snapshot
Tree-Based Clustering(TBC) for Energy Efficient Wireless Sensor Networks
inferredcites →https://doi.org/10.1155/2015/976127openalex-snapshot
Bee-Sensor-C: An Energy-Efficient and Scalable Multipath Routing Protocol 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.4144openalex-snapshot
PFARS: Enhancing throughput and lifetime of heterogeneous WSNs through power‐aware fusion, aggregation, and routing scheme
inferred← citeshttps://doi.org/10.1002/dac.5731openalex-snapshot
An optimal multipath routing protocol using hybrid gravitational search particle swarm optimization for secure communication
inferred← citeshttps://doi.org/10.1007/s12083-020-01039-5openalex-snapshot
A novel energy-efficient balanced multi-hop routing scheme (EBMRS) for wireless sensor networks
inferred← citeshttps://doi.org/10.1007/s12083-022-01315-6openalex-snapshot
Reinforcement-Learning based energy efficient optimized routing protocol for WSN
inferred← citeshttps://doi.org/10.1016/j.adhoc.2024.103528openalex-snapshot
EVRP: A novel geometrical based energy efficient eye vision routing protocol for wireless sensor networks based on the k-means algorithm
inferred← citeshttps://doi.org/10.1016/j.measen.2023.100795openalex-snapshot
Reliable multi-path route selection strategy based on evidence theory for internet of things enabled networks
inferred← citeshttps://doi.org/10.1109/access.2019.2938619openalex-snapshot
CER-CH: Combining Election and Routing Amongst Cluster Heads in Heterogeneous WSNs
inferred← citeshttps://doi.org/10.1109/icdsns62112.2024.10690933openalex-snapshot
Enhancing Network Security with Multifused Cryptography: Integrating IoT and AI
inferred← citeshttps://doi.org/10.1109/icssit55814.2023.10060898openalex-snapshot
Artificial Intelligence based Electronics Engineering Software Application System
inferred← citeshttps://doi.org/10.1109/jsen.2022.3166942openalex-snapshot
An Improved Approach for Wireless Sensor Networks With Mobile Sink Using Dynamic Minimum Spanning Tree
inferred← citeshttps://doi.org/10.1109/mass56207.2022.00085openalex-snapshot
An Enhanced Tree Routing through Multi-criteria Decision Making over Wireless Sensor Networks
inferred← citeshttps://doi.org/10.1109/wispnet54241.2022.9767187openalex-snapshot
A New Energy Efficient Routing Scheme with Normalized Condition Parameters for Wireless Sensor Network
inferred← citeshttps://doi.org/10.1155/2021/6671978openalex-snapshot
Tree‐Based Multihop Routing Method for Energy Efficiency of Wireless Sensor Networks
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2269013/v1openalex-snapshot
A Novel Approach for the Selection of Cluster-head and Energy Efficient Routing
inferred← citeshttps://doi.org/10.3390/fi14020035openalex-snapshot
Efficient Next-Hop Selection in Multi-Hop Routing for IoT Enabled Wireless Sensor Networks
inferred← citeshttps://doi.org/10.3390/s23010223openalex-snapshot
An Enhanced Tree Routing Based on Reinforcement Learning in Wireless Sensor Networks
inferred← citeshttps://doi.org/10.36548/jsws.2022.2.002openalex-snapshot
An Energy Efficient Routing Protocol based on Reinforcement Learning for WSN
inferred← citeshttps://doi.org/10.37391/ijeer.110227openalex-snapshot
A Novel Hybrid Energy Efficient Model using Clustering in Wireless Sensor Networks
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