Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Data Collection II01:29

Data Collection II

9.6K
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
9.6K
Data Collection I01:30

Data Collection I

7.8K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
7.8K
Data Collection by Experiments01:13

Data Collection by Experiments

27.1K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
27.1K
Data Collection by Survey01:07

Data Collection by Survey

8.7K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
8.7K
Data Collection III01:05

Data Collection III

3.9K
The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
3.9K
Data Collection by Observations01:08

Data Collection by Observations

14.6K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
14.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Medial Clavicle Physeal Fracture in a 15-Year-Old Male: A Case Report.

Clinical practice and cases in emergency medicine·2026
Same author

Effect of Postdiagnosis Diet and Lifestyle on Clinical Outcomes in Prostate Cancer Survivors: A Systematic Review.

The Journal of urology·2025
Same author

Centering Accessibility in Food Security Resource Research.

Journal of nutrition education and behavior·2025
Same author

The dynamics of housing cost burden among renters in the United States.

Journal of urban affairs·2025
Same author

Linkage to hepatitis C virus care in a binational cohort study of People who inject drugs on the U.S.-Mexico border.

The International journal on drug policy·2025
Same author

Lipocalin-2 Regulates Osteocyte Ferroptosis and Osteocyte-Osteoblast Crosstalk via Wnt Signaling to Control Bone Formation.

Research square·2025

Related Experiment Video

Updated: Jan 21, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.5K

Optimizing 802.15.4 Outdoor IoT Sensor Networks for Aerial Data Collection.

Michael Nekrasov1, Ryan Allen2, Irina Artamonova3

  • 1Department of Computer Science, University of California, Santa Barbara, CA 93106, USA. mnekrasov@ucsb.edu.

Sensors (Basel, Switzerland)
|August 10, 2019
PubMed
Summary

Optimizing Internet of Things (IoT) sensor networks for Unmanned Aircraft Systems (UAS) data collection is crucial for remote environmental monitoring. Network configuration significantly impacts data quality, outperforming simple signal strength metrics.

Keywords:
802.15.4Internet of ThingsUASUAVaerial networksdroneexperimental measurementssensor networkwireless networks

More Related Videos

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.1K
Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

4.1K

Related Experiment Videos

Last Updated: Jan 21, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.5K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.1K
Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

4.1K

Area of Science:

  • Wireless Sensor Networks
  • Aerial Data Collection
  • Internet of Things (IoT)

Background:

  • Rural IoT sensor networks (IEEE 802.15.4) are vital for environmental monitoring and precision agriculture.
  • Data collection in remote areas is challenging due to limited backhaul infrastructure.
  • Unmanned Aircraft Systems (UAS) offer a promising solution for delay-tolerant data retrieval from these networks.

Purpose of the Study:

  • To investigate and optimize IEEE 802.15.4 networks for aerial data collection using UAS.
  • To evaluate the impact of various factors on signal strength and packet reception rate in 3D aerial communication.
  • To model and predict the quality of service for aerial data collection.

Main Methods:

  • Analysis of experimental measurements from an outdoor aerial testbed.
  • Examination of factors like antenna orientation, altitude, placement, and obstructions.
  • Modeling and prediction of quality of service based on network configuration variables.

Main Results:

  • Network configuration significantly influences the quality of aerial data collection.
  • Received Signal Strength Indication (RSSI) alone is insufficient to predict network quality, especially with high packet loss.
  • Factors such as antenna orientation and altitude critically affect signal performance.

Conclusions:

  • Optimizing sensor network configuration is key for effective UAS-based data collection.
  • Network configuration variables provide a more robust measure of data collection quality than RSSI.
  • Strategies for enhancing aerial data collection from IoT networks are discussed based on experimental findings.