车载自组织网络信息流量特性分析

发布时间：2018-07-06 08:54

  本文选题：智能交通 + 信息流量特性　； 参考：《工程数学学报》2017年05期

【摘要】：为了揭示车载自组织网络动态拓扑特性,预测车载自组织网络行为和缓解网络拥堵,本文从微观角度分析了信息流量分布的一般特性,研究了在不同交通需求下车载自组织网络信息流量分布特性及信息流量与节点度值之间的关系.首先提出度、度分布指数与信息流量的关系,用复杂网络理论以静态、动态两种方式建立无容量限制的无标度网络模型,采用数值模拟实验和仿真实验方法讨论了参数变化时车载自组织网络信息流量变化规律;其次,借助非线性动力学理论研究了考虑容量限制的信息流量分布特性.研究结果表明,信息流量分布指数是无标度网络的通用特征参数,度值大的节点对网络影响较大,传播信息更快,信息流量与度值之间满足幂律分布规律;当信息流量需求增大时,Hub节点可能负担过重,许多信息流量可能会选择其他节点避免与Hub节点连通,这时较小度值的节点承担这部分信息流量.
[Abstract]:In order to reveal the dynamic topological characteristics of vehicle-mounted ad hoc networks, predict the behavior of vehicle-borne ad hoc networks and alleviate network congestion, this paper analyzes the general characteristics of information flow distribution from a microscopic point of view. The characteristics of information flow distribution and the relationship between information flow and node degree in vehicle-borne ad hoc networks under different traffic requirements are studied. Firstly, the relationship between degree, degree distribution index and information flow is put forward, and a scale-free network model with no capacity constraints is established by using complex network theory in static and dynamic ways. Numerical simulation experiments and simulation experiments are used to discuss the information flow variation law of vehicle-borne self-organizing networks when the parameters are changing. Secondly, the information flow distribution characteristics considering capacity constraints are studied with the help of nonlinear dynamics theory. The results show that the information flow distribution index is the general characteristic parameter of scale-free network, and the node with large degree has a greater influence on the network and spreads information faster, and the law of power law distribution is satisfied between the information flow and the degree value. When the demand for information flow increases, the Hub node may be overburdened, and many other nodes may be selected to avoid connectivity with the Hub node.
【作者单位】： 内蒙古大学交通学院;武汉科技大学汽车与交通工程学院;
【基金】：国家自然科学基金(51508428);中国新能源汽车产品检测工况研究和开发~~
【分类号】：U463.6;U495
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本文编号：2102230