Description: 利用CC1000通信的仿真程序.这是适用于无线传感器网络Mica2平台的程序.-use CC1000 communication simulation program. This is applicable to the wireless sensor network platform Mica2 procedures. Platform: |
Size: 3072 |
Author:阿刚 |
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Description: 无线传感器网络中的leach和heed分簇算法仿真，基于matlab实现。-wireless sensor networks and heed the leach clustering algorithm simulation, based on the Implementation of Matlab. Platform: |
Size: 5120 |
Author:吕磊 |
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Description: WSN(无线传感器网络）仿真实例，实现仿真的结束条件定义-Wireless (wireless sensor networks) simulation example, the realization of the end for simulation definition Platform: |
Size: 97280 |
Author:恰恰 |
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Description: Wireless Sensor Network密钥管理方案仿真程序，可仿真Laurent Eschenauer和Virgil D. Gligor提出的基于随机图理论的管理方案以及其他多种自定义密钥管理方案。-Wireless Sensor Network Key Management Scheme simulation program can be simulation Laurent Eschenauer and Virgil D. Gligor proposed a random graph theory-based management programs, as well as a variety of other custom key management program. Platform: |
Size: 241664 |
Author:旺老财 |
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Description: 用OMNET++仿真蚁群的源码,是无线传感器网络仿真的一个重要工具-With OMNET++ The source ant colony simulation, wireless sensor network simulation is an important tool Platform: |
Size: 43008 |
Author:heheh |
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Description: 无线传感器网络节点寿命，网关数，网络瓶颈、网关数仿真-Wireless sensor network nodes life expectancy, the number of gateways, network bottlenecks, Gateway few simulation Platform: |
Size: 8192 |
Author:yanshulei |
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Description: 在matlab下对leach协议进行的仿真。leach协议是无线传感器网络中较为经典的分簇协议，被广泛研究-In matlab agreement under leach simulation. leach wireless sensor network protocol is the more classic clustering agreement has been extensive research Platform: |
Size: 2048 |
Author:王琳 |
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Description: 无线传感器网络的可靠路由算法，可以选择保证可靠性条件下的最小能耗路由-Reliable wireless sensor network routing algorithm, you can choose to ensure reliability under the condition of minimum energy routing Platform: |
Size: 474112 |
Author:陈永锐 |
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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.) Thus, one important feature of such a network is that collected data packets are always traveling toward the data collector, and the network can therefore be modeled as a directed graph (and every two connected nodes can be identified as "upstream" and "downstream.") -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.) Thus, one important feature of such a network is that collected data packets are always traveling toward the data collector, and the network can therefore be modeled as a directed graph (and every two connected nodes can be identified as "upstream" and "downstream.") Platform: |
Size: 438272 |
Author:Imran |
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Description: Wireless Sensor Networks (WSN) is different than the Cellular Networks as I mentioned earlier.
A WSN is composed of a large number of sensor nodes that communicate using a wireless medium (air).
The sensor nodes are deployed randomly in the environment to be monitored.
The sensor nodes distributed in ad hoc structure.
In WSN there is no base station and not all nodes hear each other.
The WSN is a multi-hop network.
Basic part of my code is to randomly place the sensor nodes in the given space then connecting each two nodes if the distance between them less than or equal to the communication radius. Platform: |
Size: 41984 |
Author:khala |
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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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