搜索资源列表
8ERSSI
- 本文介绍了8ERSSI的无线传感器网络加权质心定位算法，用于CC2430的无线定位-This article describes the wireless sensor networks 8ERSSI weighted centroid location algorithm for wireless location CC2430。
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
Network-model
- Wireless Sensor Network models A wireless sensor network consists of hundreds or thousands of low cost nodes which could either have a fixed location or randomly deployed to monitor the environment.
05585650
- Evaluation of an RSSI-based Location Algorithm for Wireless Sensor Networks
Send-sms-from-remote-location-using-gprs-modem.ra
- This project send sms remotely is designed to send sms to a desired location without monitoring.An honeywell sensor was conect to a digital multi meter to collect the voltages given by the sensor the multimeter was conect to the computer with a rs232
Wireless-sensor-node-location--
- 一种新的基于链路质量指标或接收信号强度获取 节点相对位置的实用型高适应性定位算法，降低了无线传感网络节点定位对硬件的要求-A new index based on link quality or received signal strength for the relative position of nodes practical high adaptability positioning algorithm, reducing the wireless sensor network no
Iterative-MonteCarlo
- 研究移动无线传感网中的节点定位问题，分析影响蒙特卡罗定位精度的两个因素：观测值和前一时刻的位置样本集，提出一种迭代蒙特卡罗定位算-Research in mobile wireless sensor network node localization problems, analyze the impact of positioning accuracy of Monte Carlo two factors: the observed value and the location of the
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
coleach_4
- Energy efficiency is the most important design goal for wireless sensor networks (WSNs). In this paper, we propose an energy-efficient cooperative MIMO scheme, which combines energy-efficient LEACH (EE-LEACH) protocol and cooperative MIMO. We
An-Importance-Sampling-Method-for
- We consider the source localization problem using time-difference-of-arrival (TDOA) measurements in sensor networks. The maximum likelihood (ML) estimation of the source location can be cast as a nonlinear/nonconvex optimization problem,
07024400
- Acoustic detection of gunshots has many applications in the field of security and military. This paper deals with the detection of gunshots, using microphone sensor arrays placed in different locations which are processed using MATLAB. The ti
Acoustic-Shockwave-Based-Bearing-Estimation
- Awareness of the physical location for each node is required by many wireless sensor network applications. The discovery of the position can be realized utilizing range measurements including received signal strength, time of arrival, time di
An-Efficient-Tree-based-Power-Saving-Scheme-for-W
- Wireless sensor networks with mobile sink are ex-pected to increase the flexibility for gathering information in large-scale sensing and detecting environments. Energy saving becomes one of the most important features of the sensor nodes to extend th