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相关概念视频

Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

54
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

27
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
27
Cluster Sampling Method01:20

Cluster Sampling Method

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.8K
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

50
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
50
Distance Measurements by Taping01:18

Distance Measurements by Taping

31
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
31
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

27
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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相关实验视频

Updated: Jun 17, 2025

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
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无线传感器网络中的节点定位方法使用组合群众搜索和加权中心点方法.

Suresh Sankaranarayanan1, Rajaram Vijayakumar2, Srividhya Swaminathan3

  • 1Department of Computer Science, King Faisal University, Al Hofuf P.O. Box 400, Saudi Arabia.

Sensors (Basel, Switzerland)
|August 10, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了群众搜索加权中心位定位 (CS-WCL) 算法,用于高效的无线传感器网络 (WSN) 节点定位. 与现有方法相比,CS-WCL显著降低了平均定位误差和能源消耗.

关键词:
结节点 (Anchor nodes) 是一个结节点.乌搜索算法 乌搜索算法在本地化,本地化.在野外放牧的自由范围.

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相关实验视频

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科学领域:

  • 无线传感器网络 (WSN) 是一种无线传感器网络.
  • 在本地化算法算法.
  • 大自然启发的计算

背景情况:

  • 在WSNs中的节点本地化至关重要,但面临着诸如节点选择,有限的能量和计算强度等挑战.
  • 现有的本地化方法,包括单和多技术,存在共同线性,高计算成本和重大本地化错误等问题.
  • 灵感来自自然的算法具有潜力,但往往表现出较长的处理时间,高功耗和对参数选择的敏感性.

研究的目的:

  • 为WSNs开发一个更有效,更可靠的节点本地化算法.
  • 为了提高节点定位的准确性,同时降低能源消耗.
  • 解决现有的本地化技术的局限性,特别是关于节点选择和计算开销.

主要方法:

  • 开发了一个新的Crow Search加权心脏位点定位 (CS-WCL) 算法.
  • 群众搜索算法用于从人口中最佳选择节点.
  • 权重中枢神经系统方法用于精确定位未知的节点.

主要成果:

  • 与WCL和DV-Hop相比,CS-WCL在不同通信半径 (20m-45m) 中显示了15%的平均定位错误 (ALE) 降低.
  • 可扩展性测试显示,CS-WCL将ALE降低到2.59% (从28.75%) 与不同的信标节点 (3至2).
  • 对于30至300个节点的网络大小,能源消耗显著降低,从120mJ降至45mJ,性能优于WCL和DV-Hop.

结论:

  • CS-WCL算法为WSN中的节点本地化提供了一个更有效和可靠的解决方案.
  • 与传统和其他受自然启发的方法相比,CS-WCL有效地减少了本地化错误,并节省了能源.
  • 拟议的算法显示出卓越的性能和可扩展性,使用MATLAB 2022b.验证.