EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs)
出版年份 2022 全文链接
标题
EP-ADTA: Edge Prediction-Based Adaptive Data Transfer Algorithm for Underwater Wireless Sensor Networks (UWSNs)
作者
关键词
-
出版物
SENSORS
Volume 22, Issue 15, Pages 5490
出版商
MDPI AG
发表日期
2022-07-25
DOI
10.3390/s22155490
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks
- (2022) Neelakandan Subramani et al. SENSORS
- Routing protocols classification for underwater wireless sensor networks based on localization and mobility
- (2022) A. S. Ismail et al. WIRELESS NETWORKS
- A K-Means and Ant Colony Optimization-Based Routing in Underwater Sensor Networks
- (2022) Qiuchan Bai et al. Mobile Information Systems
- Energy Efficient Layered Cluster Head Rotation Based Routing Protocol for Underwater Wireless Sensor Networks
- (2022) Amrita Datta et al. WIRELESS PERSONAL COMMUNICATIONS
- Time-series forecasting with deep learning: a survey
- (2021) Bryan Lim et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Competitive swarm optimization based unequal clustering and routing algorithms (CSO-UCRA) for wireless sensor networks
- (2021) P. C. Srinivasa Rao et al. MULTIMEDIA TOOLS AND APPLICATIONS
- An Energy-Aware Multilayer Clustering-Based Butterfly Optimization Routing for Underwater Wireless Sensor Networks
- (2021) T. R. Chenthil et al. WIRELESS PERSONAL COMMUNICATIONS
- An Overview of Machine Learning-Based Energy-Efficient Routing Algorithms in Wireless Sensor Networks
- (2021) Qianao Ding et al. Electronics
- Energy-Efficient Depth-Based Opportunistic Routing with Q-Learning for Underwater Wireless Sensor Networks
- (2020) Yongjie Lu et al. SENSORS
- Multi-agent reinforcement learning for resource allocation in IoT networks with edge computing
- (2020) Xiaolan Liu et al. China Communications
- A Survey on Underwater Wireless Sensor Networks: Requirements, Taxonomy, Recent Advances, and Open Research Challenges
- (2020) Salmah Fattah et al. SENSORS
- Design of Algorithms and Protocols for Underwater Acoustic Wireless Sensor Networks
- (2020) Azzedine Boukerche et al. ACM COMPUTING SURVEYS
- An Optimized Routing Algorithm for Enhancing Scalability of Wireless Sensor Network
- (2020) Neha Barthwal et al. WIRELESS PERSONAL COMMUNICATIONS
- Deep Learning for Time Series Forecasting: A Survey
- (2020) José F. Torres et al. Big Data
- A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms
- (2019) Ju Ren et al. ACM COMPUTING SURVEYS
- RCAR: A Reinforcement-Learning-Based Routing Protocol for Congestion-Avoided Underwater Acoustic Sensor Networks
- (2019) Zhigang Jin et al. IEEE SENSORS JOURNAL
- Big Data Cleaning Based on Mobile Edge Computing in Industrial Sensor-Cloud
- (2019) Tian Wang et al. IEEE Transactions on Industrial Informatics
- Energy-Efficient and Trustworthy Data Collection Protocol Based on Mobile Fog Computing in Internet of Things
- (2019) Tian Wang et al. IEEE Transactions on Industrial Informatics
- Reinforcement-Learning-Based Relay Mobility and Power Allocation for Underwater Sensor Networks Against Jamming
- (2019) Liang Xiao et al. IEEE JOURNAL OF OCEANIC ENGINEERING
- Underwater Internet of Things in Smart Ocean: System Architecture and Open Issues
- (2019) Tie Qiu et al. IEEE Transactions on Industrial Informatics
- Bidirectional Prediction-Based Underwater Data Collection Protocol for End-Edge-Cloud Orchestrated System
- (2019) Tian Wang et al. IEEE Transactions on Industrial Informatics
- Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods
- (2018) Erick Meira de Oliveira et al. ENERGY
- Dynamic assessment and forecast of urban water ecological footprint based on exponential smoothing analysis
- (2018) Yin Su et al. JOURNAL OF CLEANER PRODUCTION
- Privacy-Aware Multidimensional Mobile Service Quality Prediction and Recommendation in Distributed Fog Environment
- (2018) Wenwen Gong et al. WIRELESS COMMUNICATIONS & MOBILE COMPUTING
- A distributed real-time data prediction and adaptive sensing approach for wireless sensor networks
- (2018) Gaby Bou Tayeh et al. Pervasive and Mobile Computing
- A better-performing Q-learning game-theoretic distributed routing for underwater wireless sensor networks
- (2018) Sungwook Kim International Journal of Distributed Sensor Networks
- A New Predictive Approach to Wide-Area Out-of-Step Protection
- (2018) Sayyed Mohammad Hashemi et al. IEEE Transactions on Industrial Informatics
- Maximum likelihood recursive least squares estimation for multivariate equation-error ARMA systems
- (2018) Lijuan Liu et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- RECRP: An Underwater Reliable Energy-Efficient Cross-Layer Routing Protocol
- (2018) Jun Liu et al. SENSORS
- QERP: Quality-of-Service (QoS) Aware Evolutionary Routing Protocol for Underwater Wireless Sensor Networks
- (2017) Muhammad Faheem et al. IEEE Systems Journal
- Energy-Efficient Event Determination in Underwater WSNs Leveraging Practical Data Prediction
- (2017) Zhangbing Zhou et al. IEEE Transactions on Industrial Informatics
- A Trust Model Based on Cloud Theory in Underwater Acoustic Sensor Networks
- (2017) Jinfang Jiang et al. IEEE Transactions on Industrial Informatics
- Data gathering problem with the data importance consideration in Underwater Wireless Sensor Networks
- (2017) Chien-Fu Cheng et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Event Coverage Detection and Event Source Determination in Underwater Wireless Sensor Networks
- (2015) Zhangbing Zhou et al. SENSORS
- Automatic Time Series Forecasting: TheforecastPackage forR
- (2015) Rob J. Hyndman et al. Journal of Statistical Software
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