Moradbeikie et al., 2021 - Google Patents
GNSS-free outdoor localization techniques for resource-constrained IoT architectures: A literature reviewMoradbeikie et al., 2021
View HTML- Document ID
- 17363358569226340282
- Author
- Moradbeikie A
- Keshavarz A
- Rostami H
- Paiva S
- Lopes S
- Publication year
- Publication venue
- Applied Sciences
External Links
Snippet
Large-scale deployments of the Internet of Things (IoT) are adopted for performance improvement and cost reduction in several application domains. The four main IoT application domains covered throughout this article are smart cities, smart transportation …
- 230000004807 localization 0 title abstract description 192
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
- H04W4/02—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
- H04W4/023—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/0205—Details
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
- H04W4/02—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
- H04W4/025—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using location based information parameters
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/20—Instruments for performing navigational calculations
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organizing networks, e.g. ad-hoc networks or sensor networks
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Moradbeikie et al. | GNSS-free outdoor localization techniques for resource-constrained IoT architectures: A literature review | |
Popescu et al. | A collaborative UAV-WSN network for monitoring large areas | |
Paul et al. | Localization in wireless sensor networks: A survey on algorithms, measurement techniques, applications and challenges | |
Zhuang et al. | Smartphone-based indoor localization with bluetooth low energy beacons | |
Luo et al. | Research on localization algorithms based on acoustic communication for underwater sensor networks | |
Gharghan et al. | A wireless sensor network with soft computing localization techniques for track cycling applications | |
Ghorpade et al. | Survey of localization for internet of things nodes: Approaches, challenges and open issues | |
Han et al. | A collaborative secure localization algorithm based on trust model in underwater wireless sensor networks | |
Sung et al. | Indoor pedestrian localization using iBeacon and improved Kalman filter | |
Spyridis et al. | Towards 6g iot: Tracing mobile sensor nodes with deep learning clustering in uav networks | |
Ojo et al. | Practical experiences of a smart livestock location monitoring system leveraging gnss, lorawan and cloud services | |
Ho et al. | Open collaborative platform for multi-drones to support search and rescue operations | |
Huang et al. | Multi-stage pedestrian positioning using filtered WiFi scanner data in an urban road environment | |
Bibbò et al. | An overview of indoor localization system for human activity recognition (HAR) in healthcare | |
Lobo et al. | Cooperative localization improvement using distance information in vehicular ad hoc networks | |
Zhang et al. | Improving Wi-Fi fingerprint positioning with a pose recognition-assisted SVM algorithm | |
Perković et al. | Machine learning approach towards lorawan indoor localization | |
Rathnayake et al. | RSSI and machine learning-based indoor localization systems for smart cities | |
Isaia et al. | A review of wireless positioning techniques and technologies: From smart sensors to 6G | |
Janssen et al. | RSS-based localization and mobility evaluation using a single NB-IoT cell | |
Ingabire et al. | Lorawan based indoor localization using random neural networks | |
Nguyen et al. | Performance evaluation of non-GPS based localization techniques under shadowing effects | |
Pensieri et al. | Evaluating lorawan connectivity in a marine scenario | |
Karfakis et al. | Nr5g-sam: A slam framework for field robot applications based on 5g new radio | |
Bouzidi et al. | Propagation Measurements for IQRF Network in an Urban Environment |