Location:
Search - beacon node
Search list
Description: 自适应定位程序，当节点为beacon状态时，监听定位网络；当节点为listener状态时，负责进行定位计算，然后转化为beacon状态-Adaptive positioning procedure, when the node is beacon state, the monitor location network when the node state for the listener, responsible for position calculation, and then into a beacon status
Platform: |
Size: 206848 |
Author: gaogao |
Hits:
Description: 无线传感定位的一个入门算法，介绍了信标节点密度与定位精度的关系-Wireless sensor positioning as an entry algorithm introduced beacon node density and the relationship between positioning accuracy
Platform: |
Size: 1024 |
Author: shiming |
Hits:
Description: 这个用户手册提供了基于Freescale 802.15.4 Media Access Controller (MAC)层实现的非信标星形网络
的建立和维护的信息。MyStarNetworkApp有两个基于802.15.4 Media Access Controller (MAC)层创建
的应用程序。这些演示程序在当前可以运行在以下这些Freescale开发板上：
• 13213 Network Controller Board (NCB)
• 13213 Sensor Reference Board (SRB)
• 1322x Network Node
• 1322x Sensor Node
• 13192-EVB
• 13192 Sensor Applications Reference Design (SARD) Board
• 1320x-QE128-EVB Board
除非特别强调，本例所使用的为NCB和SRB开发板。
本文档面向应用程序开发者为他们提供建立 802.15.4/ZigBee 应用程序。-This guide provides information about creation and maintenance of non-beacon star networks based on the
Freescale 802.15.4 Media Access Controller (MAC) implementation. The MyStarNetworkApp is a set of
two (2) applications created on top of 802.15.4 Media Access Controller (MAC). These demonstration
applications currently run on the following Freescale boards:
• 13213 Network Controller Board (NCB)
• 13213 Sensor Reference Board (SRB)
• 1322x Network Node
• 1322x Sensor Node
• 13192-EVB
• 13192 Sensor Applications Reference Design (SARD) Board
• 1320x-QE128-EVB Board
The examples used in this document use the NCB and SRB only unless otherwise noted.
This document is intended for application developers building 802.15.4/ZigBee applications.
Platform: |
Size: 671744 |
Author: 赵重明 |
Hits:
Description: 无线传感器网络节点定位的移动信标节点路径规划，利用冗余度的方法对网络节点进行最优布置。-Optimal placement of wireless sensor network node positioning mobile beacon node path planning, the redundancy of the network nodes.
Platform: |
Size: 416768 |
Author: 陈龙震 |
Hits:
Description: 针对基本无线传感器网络DV-Hop定位算法中，计算平均跳距时产生偏小误差的原因，提出了基于平均跳距修正的DV-Hop算法。改进算法中，引入信标节点个数比例、所有信标节点平均跳距的最大值以及所有信标节点平均跳距的平均值三个因子，并采用它们对平均跳距进行修正。通过Matlab软件对算法进行仿真验证，结果表明，改进后的 DV-Hop 算法有效降低了未知节点的定位误差，是一种可行的无线传感器网络节点定位解决方案。-DV-Hop localization algorithm for wireless sensor networks, we calculate the average hop distance small error of reasons, raised the DV-Hop algorithm based on the average hop distance correction. Improved algorithm, the proportion of the number of nodes, the introduction of beacons, the beacon node average maximum jump distance as well as all the beacon nodes average jump from the average of three factors, and their average hop distance correction. Matlab software simulation results show that the improved DV-Hop algorithm effectively reduce the unknown node positioning error, the solution is a viable wireless sensor network node positioning algorithm.
Platform: |
Size: 3072 |
Author: Lisa |
Hits:
Description: 信标节点位于等边三角形顶点的仿真Simulation1-The Simulation Simulation1 beacon node is located in an equilateral triangle vertices
Platform: |
Size: 2048 |
Author: benny |
Hits:
Description: 用数组产生盲节点和信标节点，比循环产生好许多-Produce blind node and beacon node with arrays, produce much better than the cycle
Platform: |
Size: 1024 |
Author: 苏挽 |
Hits:
Description: 基于信标节点的DV HOP算法，能够输出节点拓扑图和未知节点误差图-DV HOP algorithm based on beacon node to output node topology and unknown node error figure
Platform: |
Size: 2048 |
Author: 付磊 |
Hits:
Description: 在正方形区域内产生均匀分布的随机拓扑,红色信标节点 . 黑色未知节点,初始化节点间距离,跳数矩阵,最短路径算法计算节点间跳数,球每个信标节点的校正值,最小二乘法求未知点坐标-Generate uniformly distributed random topology in the square area, red beacon nodes. Black unknown nodes, the distance between node initialization, hop count matrix, the shortest path algorithm for computing nodes hops, a correction value of a ball each beacon node, the least square method for the coordinates of unknown points
Platform: |
Size: 1024 |
Author: beidieshi |
Hits:
Description: 设置有四个信标节点发射固定频率的声波信号，在另一个z轴平面有一移动节点以一定速度移动(Set up four beacon nodes at a fixed frequency acoustic signal, in another z axis plane one mobile node move at a certain speed)
Platform: |
Size: 1024 |
Author: haizweiw
|
Hits:
Description: 改进DV-Hop定位算法
首先设置初始量，布置了一个范围为100×100m2的区域，其上随机分布100个传感器节点，其中有10个信标节点，节点的通信半径为30m。
第二步在正方形区域内产生均匀分布的随机拓扑，随机产生节点坐标并将其中十个选定为信标节点，其余九十个设为未知节点，然后画出节点分布图。
第三步通过最短路径法计算未知节点与每个信标节点的最小跳数。
第四步根据前面记录的其他信标节点的位置信息和相距跳数估算平均每跳的实际距离，用跳数估计距离的方法得出未知节点到信标节点的距离。
第五步用极大似然估计法求未知节点坐标
(Improved DV-Hop localization algorithm first set the initial amount, layout 100100m2 the area of a range of 100 sensor nodes randomly distributed on the 10 beacon node, the node communication radius of 30m. The second step in the square area to generate uniformly distributed random topology, random coordinates of the nodes and ten of the selected beacon node, the remaining 90 is set to unknown node, and then draw the node distribution diagram. The third step is to calculate the minimum number of hops of the unknown node and each beacon node through the shortest path method. The fourth step according to the location information of the other beacon nodes in the previous record and away from hops to estimate the average hop distance and hop count to estimate the distance to come to the distance of the unknown node to beacon nodes. The fifth step maximum likelihood estimation method and the unknown coordinates of the nodes)
Platform: |
Size: 1024 |
Author: robinkk4 |
Hits: