[go: up one dir, main page]

Aziz et al., 2021 - Google Patents

Compressive sensing based routing and data reconstruction scheme for IoT based WSNs

Aziz et al., 2021

Document ID
7927809703429535508
Author
Aziz A
Singh K
Osamy W
Khder A
Tuan L
Son L
Long H
Rakhmonov D
Publication year
Publication venue
Journal of Intelligent & Fuzzy Systems

External Links

Snippet

Data acquisition problem on large distributed wireless sensor networks (WSNs) is considered as a challenge in the growth of Internet of Things (IoT). Recently, the combination of compressive sensing (CS) and routing techniques has attracted much …
Continue reading at journals.sagepub.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/10—Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network

Similar Documents

Publication Publication Date Title
Isabona et al. Machine learning-based boosted regression ensemble combined with hyperparameter tuning for optimal adaptive learning
Djelouat et al. Compressive sensing-based IoT applications: A review
Kim et al. Wireless sensor networks for big data systems
US8645339B2 (en) Method and system for managing and querying large graphs
Aziz et al. Compressive sensing based routing and data reconstruction scheme for IoT based WSNs
Zhu et al. Emergent technologies in big data sensing: a survey
Khan et al. Optimizing the performance of pure aloha for lora-based esl
Feng et al. Wifi access points line-of-sight detection for indoor positioning using the signal round trip time
Menon et al. Internet of things-based optimized routing and big data gathering system for landslide detection
Serghini et al. 1-D convolutional neural network-based models for cooperative spectrum sensing
Xing et al. Energy-balanced data gathering and aggregating in WSNs: A compressed sensing scheme
Osamy et al. Deterministic clustering based compressive sensing scheme for fog-supported heterogeneous wireless sensor networks
Aziz et al. Chain‐routing scheme with compressive sensing‐based data acquisition for Internet of Things‐based wireless sensor networks
Dudeja et al. Energy efficient and secure information dissemination in heterogeneous wireless sensor networks using machine learning techniques
Zhou et al. The node arrangement methodology of wireless sensor networks for long-span bridge health monitoring
Ramya et al. An implementation of energy efficient fuzzy-optimized routing in wireless sensor networks using Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA)
Jin et al. Graph neural networks for detecting anomalies in scientific workflows
Liang et al. A novel combined model based on VMD and IMODA for wind speed forecasting
Mohamed et al. Modeling the performance of faulty linear wireless sensor networks
Taha et al. A system for analyzing criminal social networks
Bordel Sánchez et al. Managing wireless communications for emergency situations in urban environments through cyber-physical systems and 5G technologies
Chang et al. Bounded-error-pruned sensor data compression for energy-efficient IoT of environmental intelligence
Chen et al. Constructing maximum-lifetime data-gathering tree in WSNs based on compressed sensing
Zhu et al. Data gathering in wireless sensor networks based on reshuffling cluster compressed sensing
Wang et al. A tsenet model for predicting cellular network traffic