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WSN中基于负载均衡的EAMCT-G优化算法
引用本文:阎新芳,张汉,李良,古晓辉. WSN中基于负载均衡的EAMCT-G优化算法[J]. 天津大学学报(自然科学与工程技术版), 2012, 0(8): 735-739
作者姓名:阎新芳  张汉  李良  古晓辉
作者单位:郑州大学信息工程学院;河南省机械设计研究院有限公司
基金项目:河南省自然科学基金资助项目(72300410430);郑州大学研究生科学研究基金资助项目(10L00504)
摘    要:针对EAMCT-G算法中个别簇头因成员过多使其能量过早耗尽的问题,基于负载均衡的思想,通过引入能量和距离的综合权值,对簇成员加入簇的选择策略加以改进,改善了个别簇头负载压力过大的情况.又通过引入双优化阈值,避免优化后新的负载不均衡情况出现,保证各簇头负载比较均衡,能量在各个簇间均匀分布,从而延长了整个网络的生存期.

关 键 词:无线传感网  EAMCT-G  负载均衡  综合权值  双优化阈值

EAMCT-G Optimization Algorithm Based on Load Balance in WSN
YAN Xin-fang,ZHANG Han,LI Liang,GU Xiao-hui. EAMCT-G Optimization Algorithm Based on Load Balance in WSN[J]. Journal of Tianjin University(Science and Technology), 2012, 0(8): 735-739
Authors:YAN Xin-fang  ZHANG Han  LI Liang  GU Xiao-hui
Affiliation:1(1.School of Information Engineering,Zhengzhou University,Zhengzhou 450001,China;2.Henan Machinery Design and Research Institute Company Limited,Zhengzhou 450052,China)
Abstract:In view of the inherent characteristics of WSN, node energy is non-renewable, so the primary design goal of routing protocol is to extend the network lifetime of WSN. To solve the problems which exist in energy-aware multilevel clustering tree with gateway (EAMCT-G) algorithm, an optimization algorithm of EAMCT-G was proposed based on load equalization. The algorithm used the comprehensive weight value that is composed of two factors, the distance between head and members and the residual energy, to improve the strategy for choosing cluster members so as to balance the load of each bunch. Double optimization threshold value was also used to avoid new load imbalance that may occur after optimization. So the network lifetime can be further extended and the algorithm is suitable for large-scale sensor network.
Keywords:wireless sensor network  EAMCT-G  load balance  comprehensive weight value  double optimizationthreshold value
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