无线传感复杂网络拓扑控制研究

发布时间：2018-12-06 16:21

【摘要】：在大规模无线传感网络的控制中,如何对无线传感器网络的节点进行有效的部署,必须要解决负载均衡问题。由于无线传感网络具有自组织、多跳等复杂网络特征,随机性强,所以借助复杂网络理论研究无线传感网的拓扑结构和演化模型。在分析复杂网络原理和概念的基础上,提出一种采用双向吸引机制的无线传感网络拓扑控制算法,形成可随时间演化的无线传感网络分簇模型,构建层次型的网络拓扑结构。在Matlab环境下进行仿真,结果表明,理论与实际基本一致,验证了无线传感网络的复杂网络特性及算法模型的正确性和稳定性;算法模型与传统路由算法相比,更能体现网络层次结构;能够实现网络负载均衡;适合于大规模无线传感网络的节点均衡部署。
[Abstract]:In the control of large-scale wireless sensor networks, how to effectively deploy the nodes of wireless sensor networks, we must solve the problem of load balancing. Since wireless sensor networks have the characteristics of self-organization, multi-hop and other complex networks, the topology and evolution model of wireless sensor networks are studied by means of complex network theory. Based on the analysis of the principle and concept of complex networks, a topology control algorithm for wireless sensor networks using bidirectional attraction mechanism is proposed to form a cluster model of wireless sensor networks that can evolve with time, and to construct a hierarchical topology structure of wireless sensor networks. The simulation results under the Matlab environment show that the theory is basically consistent with the practice and verifies the correctness and stability of the complex network characteristics and the algorithm model of the wireless sensor network. Compared with the traditional routing algorithm, the algorithm model can better reflect the network hierarchy, can achieve network load balancing, and is suitable for large-scale wireless sensor network node balancing deployment.
【作者单位】：华东交通大学信息工程学院;华东交通大学软件学院;
【基金】：国家自然科学基金(61462028) 江西省科技支撑计划(20151BBE50097)
【分类号】：TP212.9;TN929.5

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