文献类型：期刊文献

英文题名：WSN path optimization based on fusion of improved ant colony algorithm and genetic algorithm

作者：Sun, Yang[1]; Tian, Jingwen[1]

第一作者：孙悦

通讯作者：Sun, Y.

机构：[1] College of information, Beijing Union University, Beijing 100101, China

第一机构：北京联合大学智慧城市学院

年份：2010

卷号：6

期号：5

起止页码：1591-1599

外文期刊名：Journal of Computational Information Systems

收录：EI(收录号：20103913260675);Scopus(收录号：2-s2.0-77956966105)

语种：英文

外文关键词：Computer simulation - Convergence of numerical methods - Optimization - Wireless sensor networks

摘要：The paper provides a new method for route optimization in wireless sensor network (WSN). WSN is an adaptive, self-organizing, jump communication network and is used widely in many fields. The proposed method consists of both ant colony algorithm and genetic algorithm. The improved ant colony algorithm is presented by overcoming its own many defects, such as the long initial population time, slow convergence speed and easy in local optimum and precocity. The genetic algorithm is absorbed into the improved ant colony algorithm, which reduces the complexity and enhances the efficiency greatly. And the multi-path route is added for transmitting data. The simulation result shows that the model is effective and improved algorithm has better performance than basic GA or improved AA. Copyright ? 2010 Binary Information Press May, 2010.