Description: 一种应用于无线传感网络的智能信息识别技术。属于基因算法。-A wireless sensor network used in the intelligent information recognition technology. Belonging to genetic algorithm. Platform: |
Size: 4096 |
Author:li |
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Description: there is a new approach Using in Wireless sensor network to Clustering, in this approach we use GA algorithm to optimize the lifetime of network. Platform: |
Size: 1024 |
Author:haghighat |
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Description: 该图片是对无线传感网络，从能量和死亡节点进行仿真验证，所用算法为改进量子遗传算法-The picture is a wireless sensor network nodes and death from energy simulation, the algorithm used to improve the quantum genetic algorithm Platform: |
Size: 88064 |
Author:王猛 |
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Description: A Genetic Algorithm Based Optimal Sink and Relay Nodes Placement Strategy for Increasing the Lifetime of the Wireless Sensor Network Platform: |
Size: 600064 |
Author:omarbr |
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Description: 基于多种群遗传算法的MATLAB程序，解决无线传感器网络布局优化问题。-Based on multi-population genetic algorithm MATLAB program to solve the problem of wireless sensor network layout. Platform: |
Size: 1024 |
Author:gsyahu |
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Description: 虚拟力的无线传感网络覆盖，遗传算法无功优化，计算互信息非常有用的一组程序。- Virtual power wireless sensor network coverage, Genetic algorithm based reactive power optimization, Mutual information is useful to calculate a set of procedures. Platform: |
Size: 9216 |
Author:ten |
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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 - genetic algorithm wireless sensor network