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机构地区:[1]安阳学院计算机系,河南安阳455000 [2]西安外事学院工学院,西安710077
出 处:《科技通报》2016年第11期202-205,209,共5页Bulletin of Science and Technology
基 金:陕西省教育厅科学研究项目;14JK2105;西安外事学院教学改革研究项目:2015B08
摘 要:通过对密集网络中用户接入路由协议的分布式协调控制,提高网络的抗干扰能力和数据准确收发能力。传统方法采用路由扩频分层融合方法进行密集网络中用户接入分布式干扰协调控制,随着汇聚节点的增多受到的干扰增强,在信噪比较低的情况下网络用户进行数据通信的抗干扰性能不好。提出一种基于混合差分粒子群调度的密集网络中用户接入分布式干扰协调控制方法。首先进行了密集网络用户接入路由链路模型构建和设计,采用Internet Protocol Version 6(IPv6)互联网协议进行数据融合和信道均衡,采用混合差分进化方法对传统的粒子群算法进行改进,提高了密集网络中的路由算法的抗干扰性能,实现分布式干扰的抑制和路由链路的协调控制。仿真结果表明,采用该方法进行密集网络中用户接入的分布式干扰协调控制,有效提高了用户接入节点的连通性能和数据收发能力,提高了数据收发的准确性和网络的生存周期,抗干扰性能强,展示了较好的应用价值。The distributed coordination control of user access routing protocol in dense network is improved, which can improve the ability to resist interference and transmit data. In the traditional method, the method of route spread spectrum is adopted to make the user access to distributed interference coordination control in dense networks. As the increasing of the sink node is enhanced, the anti jamming performance is not good in the case of low SNR. A distributed interference coordination control method based on hybrid differential particle swarm optimization for user access in dense networks is proposed. First of all, the Protocol Version Internet 6(IPv6) Internet protocol is used to construct and design the data fusion and channel equalization. The hybrid differential evolution method is used to improve the anti jamming performance of the routing algorithm in the dense set. Simulation results show that the proposed method is effective in improving the communication performance and data sending and receiving of user access nodes. It can improve the accuracy of data sending and receiving,and the network lifetime.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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