Description: Abstract—LEACH is a hierarchy routing protocol for WSN (wireless sensor networks), which is superior to direct communication protocol, minimum-transmission-energy protocol and static clustering protocol. owever, LEACH itself has some defects. In this paper LEACH-TM introduces the concept of Trust, designs the cluster-head adjusting procedure and establishes multi-path with cluster-heads ting as routers.The simulation illustrates that LEACH-TM makes much progress in the reliability of data transmission, the tribution
of cluster heads and the lifetime of networks.-Abstract—LEACH is a hierarchy routing protocol for WSN (wireless sensor networks), which is superior to direct communication protocol, minimum-transmission-energy protocol and static clustering protocol. owever, LEACH itself has some defects. In this paper LEACH-TM introduces the concept of Trust, designs the cluster-head adjusting procedure and establishes multi-path with cluster-heads ting as routers.The simulation illustrates that LEACH-TM makes much progress in the reliability of data transmission, the tribution
of cluster heads and the lifetime of networks. Platform: |
Size: 266240 |
Author:Amir |
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Description: Abstract—the application of wireless sensor network (WSN) is always restricted by the energy shortage of sensor nodes. In order to reduce the entire energy consumption of the WSN, a promising approach is to design light clustering algorithms.LEACH is such a well-known clustering algorithm that was designed to distribute the energy consumption to nodes in the WSN evenly. LEACH is characterized by its attactive clusterbased strategy however, in the algorithm, energy dissipation of
entire network is still great during the process that cluster-heads (CH) transmit data to base station (BS). In this paper, based on
LEACH, we propose a modified clustering orithm which is named ESCAL. In ESCAL, CHs won’t communicate with BS directly, but transfer aggregated data to the nearest node in term
of received signal strength then this elected nearest node willcompress and forward the data to BS.-Abstract—the application of wireless sensor network (WSN) is always restricted by the energy shortage of sensor nodes. In order to reduce the entire energy consumption of the WSN, a promising approach is to design light clustering algorithms.LEACH is such a well-known clustering algorithm that was designed to distribute the energy consumption to nodes in the WSN evenly. LEACH is characterized by its attactive clusterbased strategy however, in the algorithm, energy dissipation of
entire network is still great during the process that cluster-heads (CH) transmit data to base station (BS). In this paper, based on
LEACH, we propose a modified clustering orithm which is named ESCAL. In ESCAL, CHs won’t communicate with BS directly, but transfer aggregated data to the nearest node in term
of received signal strength then this elected nearest node willcompress and forward the data to BS. Platform: |
Size: 86016 |
Author:Amir |
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Description: 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 RF-based sensor networks. This paper compares the
performance of such a hybrid sensor network against the wellknown
RF-based low energy adapting clustering hierarchy
(LEACH) WSN proposed in the literature. Network performance
is studied in terms of network lifetime and average network area
coverage. Simulations show that despite not employing data
aggregation, the RF/FSO WSN has a longer lifetime and larger
average network coverage when compared to the LEACH WSN Platform: |
Size: 631808 |
Author:serag |
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Description: 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 public services. This article provides an overview of the location, localization, and localizability
issues of wireless ad-hoc and sensor networks. Making data geographically meaningful, location information is essential for
many applications, and it deeply aids a number of network functions, such as network routing, topology control, coverage,
boundary detection, clustering, etc. We investigate a large body of existing localization approaches with focuses on error
control and network localizability, the two rising aspects that attract signi¯ cant research interests in recent years. Error
control aims to alleviate the negative impact of noisy ranging measurement and the error accumulation e® ect during coope-
rative localization process. Network localizability provides theoretical analysis on the per Platform: |
Size: 7166976 |
Author:xuchen |
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Description: An Overview of Wireless Sensor Networks,Adaptive Decentralised Re-Clustering Protocol for Wireless Sensor Networks , Energy Efficient Clustering Protocol to Enhance the Lifetime of Wireless Sensor Networks and Bidirectional Data Gathering Protocol for Wireless Sensor Networks Platform: |
Size: 883712 |
Author:Mongy |
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Description: 论文 在使用无线传感器网络进行目标检测时,如何布置尽可能少的传感器节点而同时实现高的正确检测概率和
低的误警率,是关键问题之一。采用数据融合技术,能实现传感器节点之间的协同,从而大幅提高目标检测精度。提
出了用于目标检测的精度模型,分析了数据融合半径与传感器节点密度之间的关系,设计聚类方法将目标点组织成布
置单元,从高密度单元到低密度单元布置传感器节点覆盖目标区域。仿真结果表明,算法在保证检测精度的同时能有
效减少所使用的传感器节点数目。
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Sensor placement is a key issue in target detection,placing smaller sensors to achieve high detection accuracy
which presented as a specific high detection probability and a low false alarm rate is very important.Data fusion based
collaboration between sensors can boost the level of accuracy in general.In this paper,the accuracy model and the rela-
tionship between the fusion radius and density of sensors were analyzed a quality-threshold clustering algorithm was
employed to organize the surveillance locations into placement units,place sensors in them from the intensive to sparse
one.Simulation results show that this placement algorithm can significantly reduce the total number of sensors with
guaranteed accuracy. Platform: |
Size: 238592 |
Author:子木 |
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Description: LEACH (Low Energy Adaptive Clustering Hierarchy) is designed for sensor networks where an end-user wants to remotely monitor the environment. In such a situation, the data from the individual nodes must be sent to a central base station, often located far from the sensor network, through which the end-user can access the data. Platform: |
Size: 1648640 |
Author:chandan kumar |
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Description: LEACH (Low Energy Adaptive Clustering Hierarchy) is designed for sensor networks where an end-user wants to remotely monitor the environment. In such a situation, the data from the individual nodes must be sent to a central base station, often located far from the sensor network, through which the end-user can access the data. MODIFIED LEACH IS ENHANCED VERSION OF LEACH PROTOCOL TO SAVE ENERGY. Platform: |
Size: 248832 |
Author:chandan kumar |
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Description: LEACH [1] is an autonomous adaptive clustering protocol that distributes the
energy load evenly among the sensors in the network using randomization. The
nodes organize themselves into local clusters, with one node acting as the local
base station or cluster head. In order to not drain the battery of a single sensor
randomized rotation of the high-energy cluster head position such that it rotates
among the various sensors. Once the cluster head has all the data from the nodes in
its cluster, the cluster head node aggregates the data and then transmits the
compressed data to the base station. Since it compress the amount of data being
sent from the clusters to the base station, energy dissipation is reduced and system
lifetime is thus enhanced.
A Comparative Analysis of Energy-Efficient Routing Protocols 401
This Platform: |
Size: 2048 |
Author:jagadish |
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Description: 无线传感器网络LEACH路由算法Matlab仿真程序，包括簇首选择、成簇、数据传输、计算节点能耗和网络寿命-LEACH wireless sensor network routing algorithm Matlab simulation program, including the cluster head selection, clustering, data transmission, the compute node energy consumption and network lifetime Platform: |
Size: 2048 |
Author:何天祺 |
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Description: 基于均衡网络能耗的无线传感网络路由算法，包括分簇机制，数据传输机制等-Wireless sensor network routing algorithm based on balanced energy consumption of the network, including the clustering mechanism, data transmission mechanism Platform: |
Size: 16183296 |
Author:朱攀 |
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Description: Energy efficient algorithm based on clustering in wireless sensor networks.
Use of primary and secondary cluster heads for data gathering procedures.
Platform: |
Size: 807936 |
Author:bostoncrap |
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Description: Wireless Sensor Network is the network of power-limited sensing devices called sensors. Wireless sensor network is differ other networks in terms of optimization of amount of energy because when these sensors sense and transmit data to other sensors present in the network, considerable amount of energy is dissipated. Various routing algorithms are proposed to limit the powers used by the wireless sensors. Hierarchical routing protocols with the concept of clustering like LEACH and and DEEC are already best known for maintaining energy efficiency. In this submission, we will compare these two protocols.-Wireless Sensor Network is the network of power-limited sensing devices called sensors. Wireless sensor network is differ other networks in terms of optimization of amount of energy because when these sensors sense and transmit data to other sensors present in the network, considerable amount of energy is dissipated. Various routing algorithms are proposed to limit the powers used by the wireless sensors. Hierarchical routing protocols with the concept of clustering like LEACH and and DEEC are already best known for maintaining energy efficiency. In this submission, we will compare these two protocols. Platform: |
Size: 11264 |
Author:SamSholi |
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Description: 到达过程是的泊松过程，外文资料里面的源代码，关于神经网络控制，欢迎大家下载学习，虚拟力的无线传感网络覆盖，可实现对二维数据的聚类，车牌识别定位程序的部分功能。- Arrival process is a Poisson process, Foreign materials inside the source code, On neural network control, Welcome to download the study, Virtual power wireless sensor network coverage, Can realize the two-dimensional data clustering, Part of the license plate recognition locator feature. Platform: |
Size: 7168 |
Author:gjnkarjx |
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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 |
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Description: 对于初学者具有参考意义，虚拟力的无线传感网络覆盖，毕业设计有用，可实现对二维数据的聚类，有循环检测，周期性检测，包括随机梯度算法，相对梯度算法，各种资源分配算法实现，对信号进行频谱分析及滤波。- For beginners with a reference value, Virtual power wireless sensor network coverage, Graduation useful Can realize the two-dimensional data clustering, There are cycle detection, periodic testing, Including stochastic gradient algorithm, the relative gradient algorithm, Various resource allocation algorithm, The signal spectral analysis and filtering. Platform: |
Size: 8192 |
Author:efcgp |
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Description: 是一种双隐层反向传播神经网络，用MATLAB实现动态聚类或迭代自组织数据分析，可实现对二维数据的聚类，一种流形学习算法（很好用），关于神经网络控制，虚拟力的无线传感网络覆盖，pwm整流器的建模仿真。- Is a two hidden layer back propagation neural network, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Can realize the two-dimensional data clustering, A fluid manifold learning algorithm (good use), On neural network control, Virtual power wireless sensor network coverage, Modeling and simulation pwm rectifie. Platform: |
Size: 6144 |
Author:bfhxjafh |
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Description: 有CDF三角函数曲线/三维曲线图，有小波分析的盲信号处理，虚拟力的无线传感网络覆盖，可实现对二维数据的聚类，对于初学matlab的同学会有帮助，有较好的参考价值。- There CDF trigonometric curve/3D graphs, There Wavelet Analysis Blind Signal Processing, Virtual power wireless sensor network coverage, Can realize the two-dimensional data clustering, Matlab for beginner students will help, There are good reference value. Platform: |
Size: 7168 |
Author:cbfwhxkz |
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Description: Can realize the two-dimensional data clustering, Virtual power wireless sensor network coverage, Space target recognition algorithm using PM. Platform: |
Size: 150528 |
Author:李娜玲
|
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