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具有能量和位置意识基于ACO的WSN路由算法
  • 期刊名称:电子学报, Vol.38(8):1763-1769, 2010 (EI收录)
  • 时间:0
  • 分类:TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]陕西师范大学计算机科学学院,西安710062, [2]西安人福电子科技有限公司,西安710065
  • 相关基金:国家自然科学基金资助项目(60773224,60970054,61173094); 国家教育部留学回国人员科研基金资助项目; 陕西师范大学研究生培养创新基金资助项目(2011CXS025)
  • 相关项目:普适计算环境下的分布式模糊自适应访问控制理论及关键技术研究
中文摘要:

针对WMSNs路由算法设计的需求,依据遗传算法的基本原理和Pareto多目标优化方法,提出WMSNs多路径多目标优化路由算法MMOR-GA。该算法充分利用基站的存储空间充裕、能量充足和计算能力强的优势,在全局范围内搜索WMSNs多路径多目标优化路由。同时构建了基于前向邻居概念的网络模型和多目标优化函数,设计特定的编码方案及选择、交叉、变异算子。将MMOR-GA和TPGF进行模拟仿真实验,结果表明MMOR-GA算法能均衡有效地提高WMSNs路由的多QoS参数。

英文摘要:

Aiming to the requirements of WMSNs routing algorithm designing,this paper proposed a multi-path and multi-object optimization routing algorithm for WMSNs based on genetic algorithm(MMOR-GA) according to the basic principle of genetic algorithm and the Pareto multi-objective optimizing method.The MMOR-GA algorithm took full advantage of the large volume storage space,abundant energy and powerful computing ability of the base station in order to search multi-path and multi-object optimization routing paths for WMSNs in the global scope.Simultaneously,this algorithm created a WMSNs model and multi-objective optimizing function based on the concept of forward neighbors.In addition,it designed the specific coding scheme,selection operator,crossover operator and mutation operator.MMOR-GA and TPGF algorithm were simulated.The results show that MMOR-GA is able to evenly and effectively improve the performance of several QoS parameters of WMSNs routing.

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