Description: 实现无线传感器网络协议leach
该算法基本思想是：以循环的方式随机选择蔟首节点，将整个网络的能量负载平均分配到每个传感器节点中，从而达到降低网络能源消耗、提高网络整体生存时间的目的。仿真表明，与一般的平面多跳路由协议和静态分层算法相比，LEACH可以将网络生命周期延长15％。
-Realize wireless sensor network protocol leach basic idea of the algorithm is: a way to cycle randomly selected first cluster node, the energy of the entire network load evenly distributed to each sensor node in the network so as to achieve lower energy consumption, improve the overall survival time of network目的. Simulation shows that with the ordinary flat multi-hop routing protocol and static stratification algorithm, LEACH can extend network life-cycle 15. Platform: |
Size: 562176 |
Author:dfzr |
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Description: 此压缩包包括无线传感器网络的leach协议在ns2仿真工具中的源代码和说明文件。leach协议是研究无线传感器网络的入门协议，很多新的协议都是在它的基础上改进的!-This package includes a wireless sensor network protocol leach the ns2 simulation tool in the source code and documentation. leach protocol wireless sensor networks is to study entry agreement, a lot of new agreements are the basis of its improved! Platform: |
Size: 592896 |
Author:laticar |
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Description: 针对广泛流行的无线传感网络层次路由协议做了一点改进，算法的效率得到很大的改善，可以用NS2模拟一下-Popular for a wide range of wireless sensor network-level routing protocol to do a little improvement in the efficiency of the algorithm greatly improved, you can use NS2 simulation of what Platform: |
Size: 630784 |
Author:liutianya |
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Description: 本文着重介绍了基于NS-3的无线
传感器网络的物理层仿真模块的设计，搭建了无线传感器网络仿真平台，使一个简单的例子得以在上面运行，并给出
了仿真结果。该仿真平台可以用于对无线传感器网络的深入研究与探讨，有助于无线传感器网络的优化设计、缩短系
统的开发周期。-This paper introduces NS-3-based wireless sensor network simulation module physical layer design, build a wireless sensor network simulation platform that enables a simple example to run in the top, and the simulation results. The simulation platform can be used for wireless sensor networks in-depth study and discussion, will help optimize the design of wireless sensor networks, shorten the development cycle. Platform: |
Size: 354304 |
Author:lv |
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Description: 该编程是基于OPNET网络仿真软件，该代码功能是实现多无线传感器节点无线联系之间的节能方法。-The program is based on the OPNET network simulation software, the code function is to achieve multi-node wireless links in wireless sensor energy saving between. Platform: |
Size: 1462272 |
Author:王丽娟 |
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Description: AdapCode Adaptive Network Coding for Code Updates in Wireless Sensor Networks 一个关于网络编码方法的介绍，应用于网络模拟，优化无线传感器网络通信-AdapCode Adaptive Network Coding for Code Updates in Wireless Sensor Networks a presentation on network coding, used in network simulation, optimization of wireless sensor network communication Platform: |
Size: 217088 |
Author:张冰 |
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Description: 无线传感器网络在煤矿中的仿真设计 提供了一种监控系统模型以及传感器网络的结构，并且对传感器网络的拓扑控制技术进行了研究及仿真。-Wireless sensor network simulation in the coal mine design a monitoring system model and the structure of sensor networks and sensor network topology control technology research and simulation. Platform: |
Size: 724992 |
Author:斤欠 |
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Description: 此是无线传感器网络的仿真和设计软件说明，有台湾的一个人所写，包括具体操作实例和操作步骤-This is a wireless sensor network simulation and design of the software, there is written by a man in Taiwan, including specific examples and action steps Platform: |
Size: 406528 |
Author:luhailong |
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Description: In this paper we simulate a multi-hop self-organizing wireless
sensor network. The purpose of the simulation is to investigate,
quantitatively, the performance of our self-organizing network
design. In particular, we examine such parameters as network
formation time, data packet delivery performance, throughput,
and device duty cycle. In addition, we analyze the impact of
MAC and low-duty cycle protocols. We demonstrate that our
tree network has the capability of automatic network formation,
update, and recovery. The design also supports simple address
assignments and straightforward routing. We discuss our
approach, OPNET simulation design, and simulation results Platform: |
Size: 191488 |
Author:Leontin |
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Description: This application is a simulation of a wireless sensor network. Such a network is used to detect and report certain events across an expanse of a remote area - e.g., a battlefield sensor network that detects and reports troop movements. The idea behind this network is that it can be deployed simply by scattering sensor units across the area, e.g. by dropping them out of an airplane the sensors should automatically activate, self-configure as a wireless network with a mesh topology, and determine how to send communications packets toward a data collector (e.g., a satellite uplink.)
Wireless Sensor Network Simulator v1.0 (and all future versions), together with all accompanying source code and documentation, is copyright (c) David J. Stein, Esq., March 2005. All rights reserved except as set forth in the included Wireless Sensor Network License Agreement.-This application is a simulation of a wireless sensor network. Such a network is used to detect and report certain events across an expanse of a remote area - e.g., a battlefield sensor network that detects and reports troop movements. The idea behind this network is that it can be deployed simply by scattering sensor units across the area, e.g. by dropping them out of an airplane the sensors should automatically activate, self-configure as a wireless network with a mesh topology, and determine how to send communications packets toward a data collector (e.g., a satellite uplink.)
Wireless Sensor Network Simulator v1.0 (and all future versions), together with all accompanying source code and documentation, is copyright (c) David J. Stein, Esq., March 2005. All rights reserved except as set forth in the included Wireless Sensor Network License Agreement. Platform: |
Size: 371712 |
Author:diana |
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Description: 论文:在无线传感器网络中,传感器节点收集本地数据,通常通过其它节点将数据转发给基站,因而离基站越近的节点,消耗
的能量越多.如果采用通常的方法,即均匀布置传感器节点,则基站附近的节点将很快消耗完能量,基站也就无法收集数据.本
文通过研究无线传感器网络中的能量消耗,得到了一个布置传感器节点的密度函数,按此函数布置传感器节点可以有效地延长
系统的生命期.理论分析和模拟结果表明,本文的布置方案将系统生命期提高到均匀布置方案的3R2t倍,这里t为传感器节点的
通信距离,R为传感器节点的分布区域半径.-Fusion-based Sensor Placement for Target Detection with Guaranteed Accuracy
Abstract:In sensor networks,sensor nodes collect local data and transfer these data to the base station often relayed by other
nodes.Therefore sensor nodes that are nearer to the base station will consume more energy. If deploying sensor nodes in
general way, i.e. deploying nodes uniformly in the network, sensor nodes nearby the base station will use up energy soon and
the base station can t collect data anymore. This paper presents a density function to deploy sensor nodes through investigating
energy consumption in wireless sensor network. Theoretical analysis and simulation result show that deploying by method of
this paper improve system lifetime to times of deploying uniformly, where t is radio distance of sensor node and R is radius of
the region of deploying sensor nodes.
Platform: |
Size: 102400 |
Author:子木 |
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Description: 无线传感器网络leach算法模拟演示，有剩余能量图和剩余节点图。程序运行约四分钟后出结果，请耐心等待。-LEACH algorithm simulation in wireless sensor network，with figure of residual energy and number of living nodes. This program need running for about 4 minutes, please be patient. Platform: |
Size: 2048 |
Author:曹佳溢 |
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Description: Energy is one of the most important items to determine the network lifetime due to low power energy nodes included in the network. Generally, data aggregation tree concept is used to find an energy efficient solution. However, even the best aggregation tree does not share the load of data packets to the transmitting nodes fairly while it is consuming the lowest possible energy of the network. Therefore, after some rounds, this problem causes to consume the whole energy of some heavily loaded nodes and hence results in with the death of the network. In this paper, by using the Genetic Algorithm (GA), we investigate the energy efficient data collecting spanning trees to find a suitable route which balances the data load throughout the network and thus balances the residual energy in the network in addition to consuming totally low power of the network. Using an algorithm which is able to balance the residual energy among the nodes can help the network to withstand more and consequently extend its own lifetime. In this work, we calculate all possible routes represented by the aggregation trees through the genetic algorithm. GA finds the optimum tree which is able to balance the data load and the energy in the network. Simulation results show that this balancing operation practically increases the network lifetime. Platform: |
Size: 342534 |
Author:atrakpc@yahoo.com |
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Search - simulation in wireless sensor network