Description: 无线传感器网络数学优化模型程序，里面详细记载了WSN的成簇数学模型
-Wireless sensor networks mathematical optimization model program, which documented the WSN clusters of mathematical model Platform: |
Size: 634880 |
Author:中种种 |
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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: 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: 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: Routing in Wireless Sensor Networks Using Ant Colony Optimization的中文小弟毕设的内容之一 自己翻译的 效果一般 仅供参考-Routing in Wireless Sensor Networks Using Ant Colony Optimization of Chinese younger brother one of their own complete set of the contents of the translation effect of general reference only Platform: |
Size: 134144 |
Author:lovewinner |
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Description: Routing in WSN as an Optimization Problem
Routing in Wireless sensor networks can be viewed as an optimization problem in which there is a need to find the optimal path (which is not necessarily the shortest one) in terms of some parameters like energy, delay and reliability.
Platform: |
Size: 46080 |
Author:Riham |
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Description: We consider the source localization problem using
time-difference-of-arrival (TDOA) measurements in sensor networks.
The maximum likelihood (ML) estimation of the source
location can be cast as a nonlinear/nonconvex optimization
problem, Platform: |
Size: 440320 |
Author:walid |
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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: |
Size: 3677184 |
Author:刘洋 |
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