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Related Concept Videos

Data Collection III01:05

Data Collection III

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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.
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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.
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Data Collection II01:29

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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...
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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...
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In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
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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...
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HiCoDG: a hierarchical data-gathering scheme using cooperative multiple mobile elements.

Duc Van Le1, Hoon Oh2, Seokhoon Yoon3

  • 1Department of Electrical and Computer Engineering, University of Ulsan, Ulsan 680-749, Korea. anhduc.mta@gmail.com.

Sensors (Basel, Switzerland)
|December 20, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a cooperative data-gathering scheme using mobile elements in wireless sensor networks. The proposed HiCoDG scheme significantly reduces data-gathering latency by enabling mobile collectors and relays to work together.

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Area of Science:

  • Wireless Sensor Networks
  • Mobile Computing
  • Network Optimization

Background:

  • Existing mobile element (ME)-based data gathering in wireless sensor networks (WSNs) faces high latency due to ME speed limitations.
  • Efficient data collection and relaying are critical for WSN performance.

Purpose of the Study:

  • To propose a novel hierarchical and cooperative data-gathering (HiCoDG) scheme to reduce data-gathering latency in WSNs.
  • To optimize ME trajectories for minimized travel distance.

Main Methods:

  • Developed the HiCoDG scheme utilizing mobile collectors (MCs) and mobile relays (MRs) for cooperative data forwarding.
  • Formulated an integer linear programming (ILP) problem for optimal ME trajectory planning.
  • Proposed two HiCoDG variants: intermediate station (IS)-based and cooperative movement scheduling (CMS)-based.
  • Developed an analytical model to estimate average data-gathering latency.

Main Results:

  • HiCoDG demonstrated lower latency compared to a multiple traveling salesman problem (mTSP)-based approach.
  • The CMS variant of HiCoDG achieved the lowest latency with reduced energy consumption.
  • ILP optimization effectively minimized the travel distance of MEs.

Conclusions:

  • The HiCoDG scheme offers a significant improvement in data-gathering efficiency for WSNs.
  • Cooperative movement scheduling (CMS) is a highly effective strategy for minimizing latency and energy use in ME-based data gathering.
  • The proposed optimization framework provides a robust solution for trajectory planning in cooperative WSN data collection.