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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
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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
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关于现有的基于WLAN，蓝牙以及RFID等的定位算法的综述和系统比较。是content-aware下的新兴的应用领域，有很大发展空间-Location, Localization, and Localizability
Location-aware technology spawns numerous unforeseen pervasive applications in a wide range of living, pro-
duction, commence, and publi
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Power control, broadly speaking, is the intelligent selection of transmitter power output in a communication system to achieve good performance within the system. The notion of good performance can depend on context and may include optimizing metrics
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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
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部分实现了追踪测速迭代松弛算法，虚拟力的无线传感网络覆盖，包括最小二乘法、SVM、神经网络、1_k近邻法,LCMV优化设计阵列处理信号，在MATLAB中求图像纹理特征，基于分段非线性权重值的Pso算法。- Partially achieved tracking speed iterative relaxation algorithm, Virtual power wireless sensor network coverage, Including the least squares metho
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OCCH RANDOMNESS (Optimised Connected Coverage Heuristic) approach Algorithm for WIreless Sensor Networks in Matlab
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