Description: 无线传感器网络自组织成簇问题优化模型
为了有效延长网络的运行时间,需要设计能量最优的自组织成簇机制,以适应传感器网络的特点。本文提出了一种适合无线传感器网络的能量有效的成簇优化模型。-Self-organizing wireless sensor network problems optimization model cluster in order to effectively extend the network run-time, the energy necessary to design the optimal mechanism for self-organizing clusters, in order to adapt to the characteristics of sensor networks. This paper presents a wireless sensor networks for energy efficient cluster optimization model. Platform: |
Size: 3072 |
Author:中种种 |
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Description: 本文根据无线传感器器网络的特点,建立了单目标成簇优化模型,以全网能量消耗最小化为目标,同时考虑了节点的能量消耗以及链路负载均衡等问题-In this paper, wireless sensor network in accordance with the characteristics of the establishment of a single-objective optimization model of clusters to the whole network into the smallest energy consumption, taking into account the node energy consumption, as well as issues such as link load balancing Platform: |
Size: 114688 |
Author:中种种 |
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Description: 环境监测无线传感器网络节点的设计 针对环境监测的要求,开发了一种兼容型的无线传感器网络节点系统。该系统以MSP430FG4618为核心,采用
CC2420 214G射频芯片,软件上移植了德州仪器( TI) ZigBee协议栈,并在应用层开发了通信程序。该系统可以组建成稳
定的网状网络,功耗低,数据传输稳定,可与TI支持的其他方案混合组网,使网络最优化-Environmental monitoring wireless sensor network node design requirements for environmental monitoring, development of a compatible wireless sensor network node system. The system is at the core MSP430FG4618 using radio frequency chip CC2420 214G, software on the transplantation of the Texas Instruments (TI) ZigBee protocol stack and application layer in the development of communications procedures. The system can be formed into a stable mesh network, low power consumption, data transmission stability, TI can support other programs混合组网, enable network optimization Platform: |
Size: 260096 |
Author:rou |
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Description: SEP代码,帮助实现传感器网络的优化应用,延长传感器网络的生命周期。-SEP code, to help achieve the optimization of sensor network applications, to extend the life cycle of sensor networks. Platform: |
Size: 3072 |
Author:危彦 |
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Description: Wireless Sensor Networks are wireless networks where every nodes recolects surrounding information. WSNs have several aplications such as militar survival, traffic control, building security, scientific research in other planets, etc. This project presents a communication protocol for wireless sensor networks based on the ant colony optimization metaheuristic, which uses artificial ant agents that recolects data from all sensor nodes of the network. Every ants fuzes data from a node and sends it to every other sensor and then to the base station. All ants look for a way to go where there is an energy eficient path. Platform: |
Size: 60416 |
Author:rodrigo |
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Description: 此代码实现的功能是利用微粒群算法对传感器网络节点配置算法——虚拟力算法中参数的优化。优化后,节点配置较优。-This code implements the functions is the use of particle swarm optimization algorithm for sensor network node configuration- virtual force algorithm parameters optimization. After optimization, the node configuration Jiao You. Platform: |
Size: 4096 |
Author:王巍 |
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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: 基于MDS-MAP和矩阵重复优化的无线传感器网络定位程序-Matrix based on MDS-MAP and repeat the optimization of wireless sensor network positioning procedure Platform: |
Size: 842752 |
Author:Rock |
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Description: 传感器网络的粒子群优化定位算法,有多篇经典文献,并有仿真实例。-Sensor network of particle swarm optimization localization algorithm, have more than paper classical literature, and a simulation example. Platform: |
Size: 1011712 |
Author:张大热 |
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Description: 该程序是基于虚拟力的无线传感器网络优化,算法收敛速度快,且能达到比较满意的性能。-The program is based on the virtual force wireless sensor network optimization, the algorithm convergence speed, and can achieve satisfactory performance.
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Size: 1024 |
Author:张裕 |
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Description: This is paper overview wireless sensor network
-This is paper overview wireless sensor network
This is paper overview wireless sensor network
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Size: 602112 |
Author:phan thi hong nhung |
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Description: 基于微粒群模型的无线传感器网络节点部署研究-Research on the deployment of wireless sensor network node based on particle swarm optimization model Platform: |
Size: 4096 |
Author:祝民鹏 |
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Description: In this paper, we study the issue of sensor network deployment using limited mobility sensors. By limited mobility, we mean
that the maximum distance that sensors are capable of moving to is limited. Given an initial deployment of limited mobility sensors in a
field clustered into multiple regions, our deployment problem is to determine a movement plan for the sensors to minimize the variance
in number of sensors among the regions and simultaneously minimize the sensor movements. Our methodology to solve this problem
is to transfer the nonlinear variance/movement minimization problem into a linear optimization problem through appropriate weight
assignments to regions. In this methodology, the regions are assigned weights corresponding to the number of sensors needed. Platform: |
Size: 998400 |
Author:ShAzZ |
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Description: 多传感器分配是传感器网应用过程中的一个关键问题,文章对多种方法进行了分析比较,指出了各种方法的优缺点及适用场合,值得借鉴-Sensor deployment is a fundamental issue in sensor
networks. Studies on the deployment problem are concentrated
on deploying sensors to cover assigned areas or set ofpoints
efficiently. In this paper, we discuss the sensor deployment
problem in the conte-xt of target tracking. Firstly, we propose a
sensor deployment optimization strategy based on Target
Involved Virtual Force Algorithm (TIVFA). The TIVFA
algorithm can dynamically adjust sensor networks configuration
according to terrains, intelligence and those detected
maneuvering targets in order to improve coverage and detection
probability. Secondly, we present an improved sensor-ranking
algorithm as well as a sensor protecting strategy with targets
importance sequence in consideration. The 7TVFA algorithm,
together with the sensor protecting strategy, can produce an
efficient and robust sensor network. Experiment results
sufficiently demonstrate the effectiveness of the proposed
approach. Platform: |
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Author:刘洋 |
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