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模拟退火算法优化无线传感器网络路由技术 被引量：2

Wireless Sensor Network Routing Technology
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摘要 由于模拟退火算法具有全局快速收敛优点,同时利用遗传算法优化模拟退火算法,加快模拟退火算法收敛速度,使其达到具有很强的全局搜索能力,最后对WSN路由优化问题求解。实验表明,本文方法有效地提高了节点能量利用效率。 The simulated annealing algorithm has rapid global convergence advantages,at the same time using genetic algorithm optimization simulated annealing algorithm,simulated annealing algorithm to accelerate the convergence speed,so as to reach the has strong global search ability,at the end of the WSN routing optimization problem solving.Experiments show that,this method effectively improves the utilization efficiency of node energy.
作者 袁桂霞
机构地区 江苏城市职业学院
出处 《科技通报》 北大核心 2012年第12期155-157,共3页 Bulletin of Science and Technology
基金 江苏广播电视大学 江苏城市职业学院"十二五"规划课题(12SEW-C-112)
关键词 无线传感器 模拟退火算法 路由 wireless sensor simulated annealing algorithm routing
分类号 TP393 [自动化与计算机技术—计算机应用技术]
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参考文献5

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共引文献1739

同被引文献26

  • 1Ye Z M,Mohamadian H.Adaptive clustering based dynamic routing of wireless sensor networks via generalized ant colony optimization[C]//International Conference on Future Information Engineering.Amsterdam:Elsevier,2014,10:2-10.
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  • 4Dey S,Bhattacharyya S,Maulik U.Quantum inspired genetic algorithm and particle swarm optimization using chaotic map model based interference for gray level image thresholding[J].Swarm and Evolutionary Computation,2014,15(1):38.
  • 5Gu J W,Gu X S,Gu M Z.A novel parallel quantum genetic algorithm for stochastic job shop scheduling[J].Journal of Mathematical Analysis and Applications,2009,335(1):63.
  • 6Heinnzelman W R,Chandrakasan A,Balakrishnan H.Energyefficient communication protocol for wireless microsensor network[C]//2009 International Conference on Communication Software and Networks.New York:IEEE Computer Society Press,2009:181-185.
  • 7Li S,Qin F.A dynamic neural network approach for solving Nonlinear inequalities defined on a graph and its application to distributed,routing-free,range-free localization of WSNs[J].Neurocomputing,2013,117(1):72.
  • 8米志超,周建江.无线传感网络中神经网络路由算法[J].南京航空航天大学学报,2008,40(6):780-784. 被引量：6
  • 9高颖慧,沈振康.角度编码染色体量子遗传算法[J].计算机工程与科学,2009,31(3):75-79. 被引量：13
  • 10雷霖,李伟峰,王厚军.基于遗传算法的无线传感器网络路径优化[J].电子科技大学学报,2009,38(2):227-230. 被引量：30

引证文献2

二级引证文献19

科技通报
2012年 第12期

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