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Related Concept Videos

Data Collection II01:29

Data Collection II

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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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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...
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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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Data Collection by Observations01:08

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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.
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...
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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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Optimal Resource Allocation for Uplink Data Collection in Nonorthogonal Multiple Access Networks.

Yuan Wu1,2, Cheng Zhang3, Kejie Ni4

  • 1College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China. iewuy@zjut.edu.cn.

Sensors (Basel, Switzerland)
|August 8, 2018
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Summary
This summary is machine-generated.

This study optimizes resource allocation for Internet of Things (IoT) sensor networks using Nonorthogonal Multiple Access (NOMA). The goal is to minimize costs for channel usage and energy consumption during uplink data collection.

Keywords:
nonorthogonal multiple accessoptimizationradio resource managementuplink data collection

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Area of Science:

  • Wireless communication networks
  • Telecommunications engineering
  • Internet of Things (IoT)

Background:

  • Future 5G cellular systems require massive connectivity for Internet of Things (IoT) applications.
  • Nonorthogonal Multiple Access (NOMA) offers a spectrum-efficient method for simultaneous data transmission from multiple users.
  • Uplink transmission in sensor networks presents challenges in resource management.

Purpose of the Study:

  • To minimize the total radio resource consumption cost for uplink data collection in NOMA-enabled sensor networks.
  • To optimize channel usage costs and sensor energy consumption while meeting data delivery requirements.

Main Methods:

  • Formulation of a joint optimization problem for decoding-order, transmit-power, and time allocations.
  • Development of an efficient algorithm to determine the optimal resource allocation strategy.

Main Results:

  • The proposed joint optimization effectively minimizes resource consumption costs.
  • Numerical results demonstrate the performance advantages of the proposed optimization approach.

Conclusions:

  • The developed algorithm provides an optimal solution for resource allocation in NOMA uplink sensor networks.
  • The joint optimization strategy significantly enhances the efficiency of uplink data collection for IoT applications.