无线传感器网络通信中用户数据优化查询仿真  

User Data Optimization Query Simulation in Wireless Sensor Network Communication

作　　者：胡又农[1] 徐程程 赵锦红[2] 朱小明[2] HU You - nong1 , XU Cheng - cheng1 , ZHAO Jin - hong2, ZHU Xiao - ming2(1. Capital Normal University, Beijing 100048, China; 2. Information Science Institute, Beijing Normal University, Beijing 100875, China)

机构地区：[1]首都师范大学,北京100048 [2]北京师范大学信息科学院,北京100875

出　　处：《计算机仿真》2018年第10期449-452,共4页Computer Simulation

摘　　要：针对当前用户数据查询方法采用多跳传输,数据查询能量消耗大,查询速度慢等缺点,提出基于蚁群优化的无线传感器网络通信中用户数据优化查询方法。通过对网络节点进行分簇来减少用户查询数据的传输跳数;在各个簇首节点设定过滤器值对用户数据过滤,减少冗余数据传输;当所有过滤后的数据查询消息和查询结果都在相同链路上进行时,通信能耗过大,采用蚁群算法来优化通信能耗,通过对链路上的信息素进行调整,使用户数据查询分散到不同的路径上,实现均衡通信能耗的用户数据查询优化。实验结果表明,与当前数据查询方法相比,所提方法可有效降低通信能耗,提高查询速度。In current user data query methods, the energy consumption of data query is large and the query speed is low. In this article, we focus on an optimization method for query user data in wireless sensor network communication based on ant colony optimization. At first, we reduced the hop count of user query data by clustering network nodes. Then, we gave filter values at each cluster head node to filter user data and reduce redundant data transmission. When all query messages and query results of filtered data were carried out at the same link, the communication energy consumption was too large. Thus, we used ant colony algorithm to optimize the communication energy consumption. By adjusting the pheromone on link, we could disperse the user data query on different paths. Finally, the user data query optimization with balanced communication energy could be achieved. Simulation results show that the proposed method can effectively reduce the energy consumption in communication and improve the query speed.

关 键 词：无线传感器网络 网络通信 用户数据 数据优化查询 

分 类 号：TP393.02[自动化与计算机技术—计算机应用技术]