A Reliable and Secure Smart Grid Communication Network Using a Comprehensive Cost Function

SG （smart grids） is an intelligent power grid in which the diverse nodes should communicate different types of information which have different communication requirements with CS （control stations）. There exist several RATs （radio access technologies）, with diversification in quality of service character which respect to the SG nodes communication requirements. On the other side, spectrum is becoming a rare source and its demands request is increasing exponentially. Therefore, resource allocation to support different types of SG nodes should be elaborated so that the resource efficiency is maximized while the SG communication requirements are respected. Using a CF （cost function） based on the SG node requirements and RATs characteristics to find the desirability value of every RATs for a certain node type accomplish this goal in combination with prioritizing the different SG nodes types based on SG goals by creating a priority table for RATs and different SG node types. The main node communication requirements are formulized to be used in the CF in this paper. The numerical results show that the proposed method defines the desirability value of each RAT for a certain SG node type that helps to make a priority table by using the SG node prioritization table.

Energy-Efficient Mobile Data Collection Adopting Node Cooperation in an Underwater Acoustic Sensor Network

This paper considers an underwater acoustic sensor network with one mobile surface node to collect data from multiple underwater nodes,where the mobile destination requests retransmission from each underwater node individually employing traditional automatic-repeat-request(ARQ) protocol.We propose a practical node cooperation(NC) protocol to enhance the collection efficiency,utilizing the fact that underwater nodes can overhear the transmission of others.To reduce the source level of underwater nodes,the underwater data collection area is divided into several sub-zones,and in each sub-zone,the mobile surface node adopting the NC protocol could switch adaptively between selective relay cooperation(SRC) and dynamic network coded cooperation(DNC) .The difference of SRC and DNC lies in whether or not the selected relay node combines the local data and the data overheard from undecoded node(s) to form network coded packets in the retransmission phase.The NC protocol could also be applied across the sub-zones due to the wiretap property.In addition,we investigate the effects of different mobile collection paths,collection area division and cooperative zone design for energy saving.The numerical results showthat the proposed NC protocol can effectively save energy compared with the traditional ARQ scheme.

基于超网络的军事交通运输网络节点价值评估方法

针对军事交通运输网络中的高价值目标选择问题,提出一种基于超网络的节点价值评估方法。考虑多层网络内部和网络之间的交互机制,构建由通行枢纽子网、军事力量子网和后勤保障子网组成的军事交通运输超网络模型;提出综合拓扑维度和功能维度的超网络综合效能评价算法,在此基础上运用节点删除法,获得超网络中节点的体系价值和优先打击顺序。实验结果表明:节点的功能属性对其体系价值起决定性作用,且所处位置越优、邻近节点越重要,其体系价值越高;经过多轮打击后,通过该方法获得的节点打击排序相近,表明了该方法的鲁棒性;与现有方法相比,该方法能够全面客观地判断目标的重要度,有效提高决策的准确率,具有较高的战场普适性。

输电网复杂结构安全性评估指标分析

近年来,利用复杂网络理论对电网结构安全性进行评估成为国内外研究的热点。针对目前输电网复杂网络模型过于简单的问题,紧密结合输电网自身电气特征建立了复杂输电网改进模型。从衡量电网整体输电性能角度,提出了电网输电效率和电网输电能力两个指标,结合输电路径充裕度指标对表征电网结构的上述全局性指标进行了分析和比较。从衡量电网节点连通性角度,提出了节点拓扑熵指标以评估电网中母线节点重要度的均衡程度。利用熵权法结合上述指标从多个角度综合评价电网结构的整体安全性。通过典型输电网结构和IEEE典型电网模型的仿真分析验证了所提评估指标和基于熵权法的综合评估方法的有效性。

基于m阶邻居节点的复杂网络关键节点评估

基于无向无权复杂网络理论,提出一种基于m阶邻居节点重要度贡献的节点重要度评估方法.在综合考虑了节点自身的属性,节点在网络中的位置以及m阶邻居节点的度重要度贡献和介数重要度贡献后,提出m阶邻居节点重要度贡献系数矩阵概念,建立评估模型.通过实验并和其他算法结果进行对比分析,表明所提出的评估方法具有可行性和更高的精确性.当m的取值接近网络的平均路径长度时,节点的重要度评估趋于稳定,可有效提高评估效率.

通信网节点集攻击效能评估

文章从通信网整体出发,选取了通信网连通率和业务容量剩余率作为评估指标,给出了指标的计算方法,并构建了通信网节点集攻击效能评估模型。通过仿真表明,所提模型直接基于通信网的拓扑结构及相应的结构参数,避免了指标聚合时权重选取的主观性,增强了评估结果的客观性和可用性。

计算机失效网络中节点可通信性能建模评估方法

在计算机失效网络中节点可通信性能建模评估时,传统的评估方法没有评估风险度值,因此评估误码率较高。为此,提出计算机失效网络中节点可通信性能建模评估方法。首先建立失效网络节点通信性能评估模型,以失效节点为中心,分析通信需求、通过信息流并导入通信信息,构成立体的交互式评估模型;计算评估节点可通信性能风险度值,直到二次评估能够达到规定的迭代次数或是评估误差控制在规定的范围内为止,获得计算机失效网络中节点可通信性能建模评估结果。实验结果表明,所提方法评估误码率最低可达0.202%,实现对计算机失效网络中节点可通信性能的精准评估。