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An energy‐efficient clustering and cross‐layer‐based opportunistic routing protocol (CORP) for wireless sensor network
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1 of the 40 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).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Multiple Parameter Based Energy Balanced and Optimized Clustering for WSN to Enhance the Lifetime Using MADM Approaches
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Energy efficient optimized rate based congestion control routing in wireless sensor network
inferredcites →https://doi.org/10.1016/j.adhoc.2018.09.016openalex-snapshot
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Cluster Based Data Aggregation Scheme for Latency and Packet Loss Reduction in WSN
inferredcites →https://doi.org/10.1016/j.comnet.2019.01.024openalex-snapshot
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Harris hawks optimization: Algorithm and applications
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HGC: HyperGraph based Clustering scheme for power aware wireless sensor networks
inferredcites →https://doi.org/10.1016/j.jnca.2018.01.012openalex-snapshot
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Optimal Sink Node Placement in Large Scale Wireless Sensor Networks Based on Harris’ Hawk Optimization Algorithm
inferredcites →https://doi.org/10.1109/dcoss.2019.00045openalex-snapshot
An Efficient Trajectory-Based Routing Using Virtual Coordinates for Low-Power WSNs with Mobile Sinks
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UAV-Enabled Spatial Data Sampling in Large-Scale IoT Systems Using Denoising Autoencoder Neural Network
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Cross-Layer Design for Energy-Efficient Reliable Routing in Wireless Sensor Networks
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Ant Colony Optimization Based Quality of Service Aware Energy Balancing Secure Routing Algorithm for Wireless Sensor Networks
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Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE
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Taylor Based Grey Wolf Optimization Algorithm (TGWOA) For Energy Aware Secure Routing Protocol
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Support Vector Regressive Dragonfly Optimized Shift Invariant Deep Neural Learning Based Handover for Seamless Data Delivery in Heterogeneous Network
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QoS Oriented and Energy Efficient Routing Protocol for Cooperative MIMO Based Mobile WSN: Q-E2RPC
inferredcites →https://doi.org/10.26599/tst.2018.9010002openalex-snapshot
An energy-efficient data collection scheme using denoising autoencoder in wireless sensor networks
inferredcites →https://doi.org/10.32604/cmc.2020.08674openalex-snapshot
Optimal Coverage Multi-Path Scheduling Scheme with Multiple Mobile Sinks for WSNs
inferredcites →https://doi.org/10.3390/s18124273openalex-snapshot
Data Compression Based on Stacked RBM-AE Model for Wireless Sensor Networks
inferredcites →https://doi.org/10.3970/cmc.2018.04132openalex-snapshot
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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MH‐ARO: Meta‐heuristic based adaptive routing for large scale opportunistic networks
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