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

7.9K
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...
7.9K
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

Multiple power-saving MSSs scheduling methods for IEEE802.16e broadband wireless networks.

TheScientificWorldJournal·2014
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 21, 2026

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

A Charging-Aware Multi-Mode Routing Protocol for Data Collection in Wireless Rechargeable Sensor Networks.

Shih-Chang Huang1

  • 1Department of Computer Science and Information Engineering, National Formosa University, Yunlin 632, Taiwan. schuang@nfu.edu.tw.

Sensors (Basel, Switzerland)
|August 2, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a charging-aware multi-mode routing protocol (CMRP) for wireless rechargeable sensor networks. CMRP dynamically adjusts routing based on sensor energy status, optimizing both network lifetime and data propagation delay.

Keywords:
charging-aware multi-modedata gatheringlife-delay ratiomulti-level convex hull circlewireless rechargeable sensor networks

More Related Videos

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

4.2K
Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver
08:25

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver

Published on: August 27, 2021

2.9K

Related Experiment Videos

Last Updated: Jan 21, 2026

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

4.2K
Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver
08:25

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver

Published on: August 27, 2021

2.9K

Area of Science:

  • Wireless Sensor Networks
  • Network Protocols
  • Energy Harvesting

Background:

  • Wireless rechargeable sensor networks (WRSNs) face challenges in balancing energy consumption and data transmission efficiency.
  • Existing routing protocols often struggle to adapt to the dynamic energy availability in WRSNs.

Purpose of the Study:

  • To propose a charging-aware multi-mode routing protocol (CMRP) for WRSNs.
  • To enhance network lifetime and reduce data propagation delay by adapting routing strategies to sensor energy status.

Main Methods:

  • Developed a charging-aware multi-mode routing protocol (CMRP).
  • Implemented a routing mechanism that dynamically switches based on sensor energy replenishment capabilities.
  • Introduced a heuristic chaining mechanism utilizing multi-level convex hull circles (MCC).

Main Results:

  • CMRP demonstrated longer operational time compared to LEACH and PEGASIS.
  • CMRP achieved the shortest propagation delay among compared protocols.
  • CMRP's network lifetime was comparable to Minimum Spanning Tree protocols (MSTP) with significantly lower propagation delay (21-28% shorter).

Conclusions:

  • CMRP effectively balances energy consumption and propagation delay in WRSNs.
  • The proposed protocol offers near-optimal life-delay performance.
  • Dynamic routing based on energy status is a viable strategy for improving WRSN efficiency.