On the public citation graph
Poisson's probability‐based Q‐Routing techniques for message forwarding in opportunistic networks
0 signed · 36 inferred · view as graph
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.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/dac.3487openalex-snapshot
A fuzzy logic and game theory based adaptive approach for securing opportunistic networks against black hole attacks
inferredcites →https://doi.org/10.1007/978-0-387-71058-7_5openalex-snapshot
The Concept of Opportunistic Networks and their Research Challenges in Privacy and Security
inferredcites →https://doi.org/10.1007/s11227-014-1195-9openalex-snapshot
GAER: genetic algorithm-based energy-efficient routing protocol for infrastructure-less opportunistic networks
inferredcites →https://doi.org/10.1007/s11227-014-1243-5openalex-snapshot
Efficient routing based on past information to predict the future location for message passing in infrastructure-less opportunistic networks
inferredcites →https://doi.org/10.1007/s12652-018-0697-3openalex-snapshot
kROp: k-Means clustering based routing protocol for opportunistic networks
inferredcites →https://doi.org/10.1016/j.inffus.2017.10.006openalex-snapshot
A survey on deep learning for big data
inferredcites →https://doi.org/10.1016/j.neucom.2017.07.016openalex-snapshot
Incomplete multi-view clustering via deep semantic mapping
inferredcites →https://doi.org/10.1037/e595122010-001openalex-snapshot
The learning machine: Learning
inferredcites →https://doi.org/10.1109/aina.2010.162openalex-snapshot
PRoPHET+: An Adaptive PRoPHET-Based Routing Protocol for Opportunistic Network
inferredcites →https://doi.org/10.1109/aina.2013.105openalex-snapshot
HBPR: History Based Prediction for Routing in Infrastructure-less Opportunistic Networks
inferredcites →https://doi.org/10.1109/aina.2016.15openalex-snapshot
EDR: An Encounter and Distance Based Routing Protocol for Opportunistic Networks
inferredcites →https://doi.org/10.1109/cits.2016.7546424openalex-snapshot
A priority based message forwarding scheme for Opportunistic Networks
inferredcites →https://doi.org/10.1109/jsyst.2016.2630923openalex-snapshot
A Machine Learning-Based Protocol for Efficient Routing in Opportunistic Networks
inferredcites →https://doi.org/10.1109/tbdata.2017.2701816openalex-snapshot
PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing
inferredcites →https://doi.org/10.1109/tdsc.2016.2536601openalex-snapshot
Efficient and Privacy-Preserving Outsourced Calculation of Rational Numbers
inferredcites →https://doi.org/10.1109/tsmc.2017.2701797openalex-snapshot
An Improved Deep Computation Model Based on Canonical Polyadic Decomposition
inferredcites →https://doi.org/10.1109/tvt.2017.2740218openalex-snapshot
Predicting Temporal Social Contact Patterns for Data Forwarding in Opportunistic Mobile Networks
inferredcites →https://doi.org/10.1145/961268.961272openalex-snapshot
Probabilistic routing in intermittently connected networks
inferredcites →https://doi.org/10.5555/2998828.2998961openalex-snapshot
Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control
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.4860openalex-snapshot
Review of opportunistic network: Assessing past, present, and future
inferred← citeshttps://doi.org/10.1007/978-3-031-28180-8_27openalex-snapshot
Average Time Based PRoPHET Routing Protocol for Opportunistic Networks
inferred← citeshttps://doi.org/10.1007/s11265-026-02015-7openalex-snapshot
Adaptive Gravity Routing with Deadlock-Triggered Learning for VDTN
inferred← citeshttps://doi.org/10.1007/s44227-026-00090-7openalex-snapshot
Q-Learning and Double Q-Learning Based Routing in Opportunistic Networks
inferred← citeshttps://doi.org/10.1016/j.adhoc.2022.102790openalex-snapshot
A review of AI-enabled routing protocols for UAV networks: Trends, challenges, and future outlook
inferred← citeshttps://doi.org/10.1016/j.adhoc.2024.103455openalex-snapshot
An energy recovery routing algorithm for opportunistic networks based on connection stability and node encounter type
inferred← citeshttps://doi.org/10.1016/j.simpat.2021.102475openalex-snapshot
Towards to intelligent routing for DTN protocols using machine learning techniques
inferred← citeshttps://doi.org/10.1109/icccs57501.2023.10150521openalex-snapshot
An Overview of Intelligent Algorithm-Based Routing in Delay Tolerant Networks
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650780openalex-snapshot
An Improved Spray and Wait Algorithm Based on Q-learning in Delay Tolerant Network
inferred← citeshttps://doi.org/10.1109/iwcmc51323.2021.9498737openalex-snapshot
Latency filtering for Q-routing on wireless networks
inferred← citeshttps://doi.org/10.1109/tnse.2021.3085514openalex-snapshot
Fully-Echoed Q-Routing With Simulated Annealing Inference for Flying Adhoc Networks
inferred← citeshttps://doi.org/10.1155/2021/1686946openalex-snapshot
Monitoring System-Based Flying IoT in Public Health and Sports Using Ant-Enabled Energy-Aware Routing
inferred← citeshttps://doi.org/10.12694/scpe.v20i1.1479openalex-snapshot
Establishing Reliability for Efficient Routing in Opportunistic Networks
inferred← citeshttps://doi.org/10.3390/fi11050113openalex-snapshot
Evaluating Forwarding Protocols in Opportunistic Networks: Trends, Advances, Challenges and Best Practices
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.