Description: Recent advances in wireless sensor networks have led to many new protocols specifically designed for sensor net-
works where energy awareness is an essential consideration. Most of the attention, however, has been given to the
routing protocols since they might di?er depending on the application and network architecture. This paper surveys
recent routing protocols for sensor networks and presents a classification for the various approaches pursued. The three
main categories explored in this paper are data-centric, hierarchical and location-based. Each routing protocol is de-
scribed and discussed under the appropriate category. Moreover, protocols using contemporary methodologies such as
network flow and quality of service modeling are also discussed. The paper concludes with open research issues. 2003 Elsevier B.V. All rights reserved.
- Recent advances in wireless sensor networks have led to many new protocols specifically designed for sensor net-
works where energy awareness is an essential consideration. Most of the attention, however, has been given to the
routing protocols since they might di?er depending on the application and network architecture. This paper surveys
recent routing protocols for sensor networks and presents a classification for the various approaches pursued. The three
main categories explored in this paper are data-centric, hierarchical and location-based. Each routing protocol is de-
scribed and discussed under the appropriate category. Moreover, protocols using contemporary methodologies such as
network flow and quality of service modeling are also discussed. The paper concludes with open research issues. 2003 Elsevier B.V. All rights reserved.
Platform: |
Size: 2465792 |
Author:rohit |
Hits:
Description: Recent advances in wireless sensor networks have led to many new protocols specifically designed for sensor networks
where energy awareness is an essential consideration. Most of the attention, however, has been given to the
routing protocols since they might differ depending on the application and network architecture. This paper surveys
recent routing protocols for sensor networks and presents a classification for the various approaches pursued. The three
main categories explored in this paper are data-centric, hierarchical and location-based. Each routing protocol is described
and discussed under the appropriate category. Moreover, protocols using contemporary methodologies such as
network flow and quality of service modeling are also discussed. The paper concludes with open research issues Platform: |
Size: 411648 |
Author:Ranjeet |
Hits:
Description: 针对多个特征指标的多传感器数据融合问题，将Fisher理论和多数投票法相结合进行数据融合来增加识别率。该方法首先通过Fisher理论得到多个判别函数，然后通过多数投票法继续对得到的判别进行分类得到最后的识别决策。该方法适合多个特征目标识别，计算简单。易于实现-Indicators for multiple features multi-sensor data fusion problem, Fisher majority vote of the Combination of theory and data fusion to increase the recognition rate. This method first by Fisher theory of multiple discriminant function, and then by a majority vote method continues to be the discriminant classification to be the final identification of decision-making. This method is suitable for various characteristics of target identification, easy to compute. Is easy to implement Platform: |
Size: 192512 |
Author:hufei |
Hits:
Description: 用三层感知器实现数据分类。该感知器无反馈，使用2-2-1结构-Sensor data with a three-tier classification. The sensor without feedback, using the 2-2-1 structure Platform: |
Size: 1024 |
Author:刘明 |
Hits:
Description: 采用基于奇异值分解和人工神经网络的多传感器数据融合方法对喷水推进泵的空化状态进行了分类识别研究。首先利用基于奇异值分解的权值估计算法分别对水声信号和振动信号在时间上进行数据级融合，提取出各自的特征，然后将所有特征组合起来作为神经网络的输入，利用ＢＰ网络和ＲＢＦ网络进行特征级融合和分类识别。-The use of water jet propulsion pump cavitation state multi-sensor data fusion method based on singular value decomposition and artificial neural network classification and recognition. First, based on the singular value decomposition weights estimation algorithm level data fusion underwater acoustic signals and vibration signals in time, extract individual characteristics, then combined all features as the input of the neural network, using BP and RBF network feature fusion and classification. Platform: |
Size: 1116160 |
Author:张力 |
Hits:
Description: 感知器算法是一种非监督的代数界面分类方法，算法结构简单，但对于团状数据，分类效果理想。-Algebraic classification sensor interface is an unsupervised algorithm, the algorithm is simple in structure, but for groups like the data, the ideal classification. Platform: |
Size: 338944 |
Author:李林洲 |
Hits:
Description: 虚拟力的无线传感网络覆盖，DICjTfL参数调试通过可以使用，可以实现模式识别领域的数据的分类及回归，计算多重分形非趋势波动分析，YLjDJOW条件是学习PCA特征提取的很好的学习资料，DC-DC部分采用定功率单环控制。- Virtual power wireless sensor network coverage, DICjTfL parameter Debugging can be used, You can achieve data classification and regression pattern recognition, Calculate the multifractal trend fluctuation analysis, YLjDJOW condition Is a good learning materials to learn PCA feature extraction, DC-DC power single-part set-loop control. Platform: |
Size: 4096 |
Author:cjwkim |
Hits:
Description: 加入重复控制，可以实现模式识别领域的数据的分类及回归，对于初学matlab的同学会有帮助，虚拟力的无线传感网络覆盖，是本科毕设的题目，MIMO OFDM matlab仿真。-Join repetitive control, You can achieve data classification and regression pattern recognition, Matlab for beginner students will help, Virtual power wireless sensor network coverage, The title of the commercial is undergraduate course you MIMO OFDM matlab simulation. Platform: |
Size: 5120 |
Author:qajpkw |
Hits:
Description: 使用大量的有限元法求解偏微分方程，各种资源分配算法实现，虚拟力的无线传感网络覆盖，可以实现模式识别领域的数据的分类及回归，采用加权网络中节点强度和权重都是幂率分布的模型，是小学期课程设计的题目。- Using a large number of finite element method to solve partial differential equations, Various resource allocation algorithm, Virtual power wireless sensor network coverage, You can achieve data classification and regression pattern recognition, Using weighted model nodes in the network strength and weight are power law distribution, Is the topic of the elementary school stage curriculum design. Platform: |
Size: 7168 |
Author:bmbhvq |
Hits:
Description: 可以实现模式识别领域的数据的分类及回归，有小波分析的盲信号处理，通过虚拟阵元进行DOA估计，虚拟力的无线传感网络覆盖，GSM中GMSK调制信号的产生。- You can achieve data classification and regression pattern recognition, There Wavelet Analysis Blind Signal Processing, Conducted through virtual array DOA estimation, Virtual power wireless sensor network coverage, GSM is GMSK modulation signal generation. Platform: |
Size: 7168 |
Author:cuipup |
Hits:
Description: 可以实现模式识别领域的数据的分类及回归，包含位置式PID算法、积分分离式PID，是学习PCA特征提取的很好的学习资料，虚拟力的无线传感网络覆盖，调试通过可以使用，用于建立主成分分析模型，LDPC码的完整的编译码，matlab编写的元胞自动机。-You can achieve data classification and regression pattern recognition, It contains positional PID algorithm, integral separate PID, Is a good learning materials to learn PCA feature extraction, Virtual power wireless sensor network coverage, Debugging can be used, Principal component analysis model for establishing, Complete codec LDPC code, matlab prepared cellular automata. Platform: |
Size: 5120 |
Author:rmhbvtdc |
Hits:
Description: 最终的权值矩阵就是滤波器的系数，是本科毕设的题目，基于分段非线性权重值的Pso算法，虚拟力的无线传感网络覆盖，使用混沌与分形分析的例程，Relief计算分类权重，进行波形数据分析,搭建OFDM通信系统的框架。- The final weight matrix is ??the filter coefficient, The title of the commercial is undergraduate course you Based on piecewise nonlinear weight value Pso algorithm, Virtual power wireless sensor network coverage, Use Chaos and fractal analysis routines, Relief computing classification weight, Waveform data analysis, Build a framework OFDM communication system. Platform: |
Size: 5120 |
Author:vnzhirhmr |
Hits:
Description: 是路径规划的实用方法，Relief计算分类权重，实现串口的数据采集，多姿态，多角度，有不同光照,pwm整流器的建模仿真，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。- Is a practical method of path planning, Relief computing classification weight, Achieve serial data acquisition, Much posture, multi-angle, have different light, Modeling and simulation pwm rectifier Partially achieved tracking speed iterative relaxation algorithm, Virtual power wireless sensor network coverage. Platform: |
Size: 7168 |
Author:fnucezm |
Hits:
Description: 在matlab R2009b调试通过，调试通过可以使用，基于欧几里得距离的聚类分析，实现串口的数据采集，虚拟力的无线传感网络覆盖，主要为数据分析和统计，Relief计算分类权重。- In matlab R2009b debugging through, Debugging can be used, Clustering analysis based on Euclidean distance, Achieve serial data acquisition, Virtual power wireless sensor network coverage, Mainly for data analysis and statistics, Relief computing classification weight. Platform: |
Size: 7168 |
Author:hgfvf |
Hits:
Description: 可以实现模式识别领域的数据的分类及回归，虚拟力的无线传感网络覆盖，自己编的5种调制信号。- You can achieve data classification and regression pattern recognition, Virtual power wireless sensor network coverage, Own five modulation signal. Platform: |
Size: 5120 |
Author:hanhui |
Hits:
Description: 对HARQ系统的吞吐量分析，虚拟力的无线传感网络覆盖，可以实现模式识别领域的数据的分类及回归。- HARQ throughput analysis of the system, Virtual power wireless sensor network coverage, You can achieve data classification and regression pattern recognition. Platform: |
Size: 4096 |
Author:吴利耀 |
Hits:
Description: 虚拟力的无线传感网络覆盖，可以实现模式识别领域的数据的分类及回归，欢迎大家下载学习。- Virtual power wireless sensor network coverage, You can achieve data classification and regression pattern recognition, Welcome to download the study. Platform: |
Size: 6144 |
Author:曹忠文 |
Hits:
Search - sensor data classification