[go: up one dir, main page]

da Glória, 2021 - Google Patents

Sustainable modular IoT solution for smart cities applications supported by machine learning algorithms

da Glória, 2021

Document ID
16722883466083209206
Author
da Glória A
Publication year
Publication venue
PQDT-Global

External Links

Snippet

Abstract The Internet of Things (IoT) and Smart Cities are nowadays a big trend, but with the proliferation of these systems several challenges start to appear and put in jeopardy the acceptance by the population, mainly in terms of sustainability and environmental issues …
Continue reading at search.proquest.com (other versions)

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/12Network-specific arrangements or communication protocols supporting networked applications adapted for proprietary or special purpose networking environments, e.g. medical networks, sensor networks, networks in a car or remote metering networks
    • H04L67/125Network-specific arrangements or communication protocols supporting networked applications adapted for proprietary or special purpose networking environments, e.g. medical networks, sensor networks, networks in a car or remote metering networks involving the control of end-device applications over a network
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00Systems controlled by a computer
    • G05B15/02Systems controlled by a computer electric
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organizing networks, e.g. ad-hoc networks or sensor networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATIONS NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22Traffic simulation tools or models

Similar Documents

Publication Publication Date Title
Vermesan et al. Internet of things strategic research and innovation agenda
Zhou et al. Cyber-physical-social systems: A state-of-the-art survey, challenges and opportunities
US11315045B2 (en) Entropy-based weighting in random forest models
Akbas et al. Neural network based instant parameter prediction for wireless sensor network optimization models
US10832024B2 (en) Behavior detection using RFID in environments with high RFID tag density
Mazhar et al. Imran; Elkamchouchi, DH Analysis of Challenges and Solutions of IoT in Smart Grids Using AI and Machine Learning Techniques: A Review. Electronics 2023, 12, 242
Basu et al. A post-disaster demand forecasting system using principal component regression analysis and case-based reasoning over smartphone-based DTN
US20190036801A1 (en) Efficient mesh network data gathering
CN104883278A (en) Method for classifying network equipment by utilizing machine learning
US20210345132A1 (en) Transceiver with machine learning for generation of communication parameters and cognitive resource allocation
US20240248783A1 (en) Root cause analysis via causality-aware machine learning
Gloria et al. Autonomous configuration of communication systems for IoT smart nodes supported by machine learning
Laghari et al. Internet of multimedia things (IoMT): A review
Luntovskyy et al. Technologies and solutions for smart home and smart office
Bouzid et al. Wireless sensor network deployment optimisation based on coverage, connectivity and cost metrics
Coboi et al. Zigbee based mobile sensing for wireless sensor networks
da Glória Sustainable modular IoT solution for smart cities applications supported by machine learning algorithms
Ding et al. Development and Coverage Evaluation of ZigBee‐Based Wireless Network Applications
Chander Artificial neural networks and support vector machine for IoT
Rao et al. Empirical study on energy-efficient IoT-based WSN routing protocols for smart agriculture system
Okkonen et al. Internet-of-things market, value networks, and business models: state of the art report
Carlos et al. Wireless sensor networks applications for monitoring environmental variables using evolutionary algorithms
Mendula Middleware-enabled frugality for intelligent and distributed edge applications
Walia et al. The characteristics of smart energy information management systems for built environments
Tahiri Alaoui et al. Towards an Optimization Model for Household Waste Bins Location Management.