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- Scenario for wsn -running on ns2-Scenario for wsn-running on ns2
wsn
- 本文件中包含大量与无线传感器网络定位有关的论文，大多为IEEE最近两年的论文，希望对大家有帮助-This document contains a large number of wireless sensor networks with location-related papers, most of the last two years for the IEEE papers, we want to help
based-location-for-WSN
- 基于虚拟力的无线传感器网络地理位置路由算法-Virtual force based location routing algorithm for wireless sensor networks
range-free-dingwei
- 本程序用于在WSN中计算与距离无关的情况下的节点的定位-this resource is used to calculate the location of the nodes in the WSN
wsn
- 综合叙述了目前无线传感器网络的现状及发展并重点介绍了其中的定位及数据融合技术-Comprehensive descr iption of the current status of wireless sensor networks and development and highlights of the location and data fusion technology
Design-on-the-Location-of-the-WSN-
- 本文档主要是完成在无线传感器网络中对节点的定位操作，包括串口通信模块，数据通信模块，定位计算模块等操作，其中给出了关键代码和具体的流程。-The documents are mainly complete in wireless sensor network node location to the operation, including serial interface communication module, data communication module, positioning
GAF-algorithm-of-WSN
- WSN的GAF算法程序针对无线传感器网络节点部署密集的特点，提出了 GAF 算法。在 GAF 算法中，根据节点的地理位置信息和节点的无线电发射半径（radio range），传 感器网络部署区域被划分为虚拟单元格（virtual gird）。根据自己的物理位置信 息，各个节点被划入到自己的单元格中。各个节点的物理位置信息可以由 GPS 或 其它定位系统得到。 -GAF algorithm of WSN deployment intensive features for wir
WLAN-and-WSNBased-Heterogeneous
- 归纳了基于WLAN和WSN的异构网络协同定位算法研究中的关键问题指出了如何根据终端位置环境同时搜索WLAN和无线传感器网络以及改进后的网络融合定位算法- The key problems of heterogeneous network based on WLAN and WSN in the study of collaborative localization algorithm were summarized. According to terminal location envi
WLAN-and-WSN-fusion-algorithm
- 针对大型建筑物复杂环境室内定位的特殊性，为了克服移动终端采用WLAN或无 线传感器网络单独定位精度不高的局限性，实现移动终端精确定位导航,提出了根据终端位 置环境同时搜索WLAN和无线传感器网络，采用改进后的网络融合定位算法，可以为用户 提供高精度、高概率和高保密性的定位业务。-For large buildings in the complex environment of indoor positioning particularity, in order to overcome
locationdiscovery
- Code describes the location discovery method in WSN
nearestposition
- to find the location of nearest nodes in WSN