搜索资源列表
TinyOS
- 基于T i n y O S 的无线传感器网络体系结构 无线传感器网络WSN(Wireless Sensor Network) 由部署在监测区域内大量廉价的传感器节点组成,通过 无线通信方式形成multi2hop 自组织的网络系统,其目的是协作地感知、采集和处理网络覆盖区域中感知 对象的信息,并发送给观察者。本文从分析无线传感器节点Mica 和其上运行的操作系统TinyOS 出发, 着重描述无线传感器网络节点应用程序体系结构和消息通信机制。 -T iny OS-ba
WSN
- 利用极大值估计法进行节点之间的定位。模拟真实环境进行仿真- Estimated using the maximum method of positioning between nodes. Simulate the real environment simulation
exp2
- 本实验是遗传算法和鱼群算法求解无线传感覆盖问题（组合优化类）的实验。代码可供参考，只需更改目标函数就可以做别的实验。 代码主要包括三个功能： 1.绘图，绘制横纵坐标轴和各点坐标以及各点覆盖范围。 2.遗传算法。CGA类中包括二进制遗传算法。 3.鱼群算法。CFA类中包括二进制离散组合鱼群算法。-The WSN coverage control by GA and AFSA
s02-5
- Power consumption is an important design criterion in the design of wireless sensor networks. Hybrid radio frequency/free space optical wireless sensor networks (RF/FSO WSN) have been proposed to reduce the energy consumption of traditional R
wsn-code
- 这是基于虚拟力的无线传感网络覆盖仿真的源代码-This is based on the virtual power wireless sensor network coverage simulation source code
CPCP
- 覆盖保存是WSN的一个基本质量要求。选择一个最佳的簇头，以满足长时间的监视区域的完全覆盖。使用覆盖意识的方法来选择簇头，而不是基于能量的方法，可以增加场景有效时间。-WSN coverage preservation is a basic quality requirements. Choose one of the best cluster head in order to meet long surveillance area completely covered. Awareness of
wsn
- 用matalb仿真来判断无线传感器网络中的各个节点是否连通。其中包含判断连通率的函数和覆盖率的算法。可以计算最小发射功率。-Matalb simulation to determine whether the use of wireless sensor network each node connectivity. Which contains a function to determine connectivity rate and coverage algorithms. You can
UWB-based-sensor-networks-for-localization-in-min
- Wireless sensor networks (WSN) have attached a great attention in the last few years. WSN offer several advantages over the traditional sensor networks, such as elimination of costly wires, security and larger area coverage. In the last few years
wsn node
- 本程序包含传感器简单分布及覆盖程序，简单小程序易于实现。(This program contains the simple distribution and coverage of the sensor, and the simple small program is easy to implement.)
WSN
- WSN中节点确定性部署算法代码，覆盖率达到100％，算法思路简单，易于实现(WSN node deterministic deployment algorithm code, coverage rate of 100%, the algorithm is simple, easy to implement)