| 基于改进蛙跳算法的WSN移动节点部署研究 |
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| 引用本文： | 龙腾,孙辉,赵嘉. 基于改进蛙跳算法的WSN移动节点部署研究[J]. 计算机工程, 2012, 38(5): 96-98,116 |
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| 作者姓名： | 龙腾 孙辉 赵嘉 |
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| 作者单位： | 1. 南昌航空大学信息工程学院,南昌,330063
2. 南昌工程学院信息工程学院,南昌,330099 |
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| 基金项目： | 国家自然科学基金，江西自然科学基金，江西教育厅科技基金，江西省科技厅科技支撑基金 |
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| 摘 要： | 针对传统无线传感移动节点部署方法存在节点分布不均匀、覆盖不完全等问题，提出一种基于改进混合蛙跳算法(SFLA)的移动节点部署方法。根据节点位置信息建立部署模型，利用改进SFLA算法求解该模型，将得到的解作为节点最终位置。仿真实验结果表明，相对于微粒群、虚拟力、基本混合蛙跳算法，改进SFLA算法可提高网络覆盖率和降低移动节点能耗。
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| 关 键 词： | 混合蛙跳算法 粒子群优化算法 无线传感器网络 移动节点部署 虚拟力算法 |
| 收稿时间： | 2011-06-10 |
Research of Mobile Node Deployment in WSN Based on Improved Frog Leaping Algorithm |
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| LONG Teng , SUN Hui , ZHAO Jia. Research of Mobile Node Deployment in WSN Based on Improved Frog Leaping Algorithm[J]. Computer Engineering, 2012, 38(5): 96-98,116 |
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| Authors: | LONG Teng SUN Hui ZHAO Jia |
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| Affiliation: | 1.School of Information Engineering,Nanchang Hangkong University,Nanchang 330063,China,2.School of Information Engineering,Nanchang Institute of Technology,Nanchang 330099,China) |
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| Abstract: | Aiming at the traditional deployment methods of mobile nodes in Wireless Sensor Network(WSN),there are some problems like non-uniform distribution and incomplete coverage of the nodes.To overcome this,a new assignment deployment method of mobile nodes,which is based on improved Shuffled Frog Leaping Algorithm(SFLA) is presented from the angle of swarm intelligence algorithm.An optimal deployment model of mobile nodes is set up according to the nodes location information.Simulation results show that the improved SFLA has stronger global convergence ability than Particle Swarm Optimization(PSO),SFLA,Virtual Force Algorithm(VFA) in the application of deployment of mobile nodes,and reduces the wasted energy of the mobile nodes at the same time. |
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| Keywords: | Shuffled Frog Leaping Algorithm(SFLA) Particle Swarm Optimization(PSO) algorithm Wireless Sensor Network(WSN) mobile node deployment Virtual Force Algorithm(VFA) |
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