A new survivability measure for military communication networks

Kang, Haizhuang; Butler, Cedrick J.; Yang, Qingping; Jiamo, Chen

doi:10.1109/milcom.1998.722547

Cited by 15 publications

(4 citation statements)

References 2 publications

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“…Take the computation of survivability [11] in an alternative as an example. There are 3 experts and 3 virtual experts in evaluation process.…”

Section: Example Of Data Fusionmentioning

confidence: 99%

Multiple Data Sources Fusion Method for Effectiveness Evaluation of Military Communication Network

Fu-li¹,

Zhu²

2010

2010 2nd International Conference on Information Engineering and Computer Science

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In the evaluation process of Military communication network effectiveness (MCNE), the evaluation data mainly come from expert judgments, simulation results and test bed data, and these data cannot be directly used to evaluate MCNE because these three kinds of data are very different in form and in attribute. This research proposed a novel method which synthesizes expert judgments, simulation results, and test bed data to evaluate MCNE with respect to the characteristics of them. Using Belief map as data expression form; taking test bed data as training example; acquiring simulation data's confidence using test bed data and Support vector regression (SVR) which build regression relational model between network parameters and measures of performance; using an extensive Bayesian algorithm (EBA) to fuse data from multiple sources; we proposed an evaluation framework of MCNE based on multiple data sources. Take MCNE evaluation of a Naval Vessels Fleet as an example, we demonstrate that the fusion process proposed is credible and effective. Keywords-military communication network effectiveness; data fusion; belief map; support vector regression; extensive Bayesian algorithmI.

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“…Take the computation of survivability [11] in an alternative as an example. There are 3 experts and 3 virtual experts in evaluation process.…”

Section: Example Of Data Fusionmentioning

confidence: 99%

Multiple Data Sources Fusion Method for Effectiveness Evaluation of Military Communication Network

Fu-li¹,

Zhu²

2010

2010 2nd International Conference on Information Engineering and Computer Science

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show abstract

“…[10] used the node connectivity factor(NCF) and link connectivity factor(LCF) as the survivability measure of network. [11] used SM which reflects the connectivity of the network as the network survivability measure. [12] offers a solution in the selection of the K-best disjoint paths through a network by mapping an arbitrary network graph into a trellis graph.…”

Section: The New Survivability Measure Smmentioning

confidence: 99%

Survivability performance evaluation for satellite communication network based on Walker Constellation

Zhao

2007

SPIE Proceedings

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Satellite communication plays a more and more important role in civilian communication and military communication with the explosive growth of requirements on information. It also means that satellite communication network must have a high survivability in order to provide satisfying services to its users. Network survivability reflects the ability of a network to continue to function during and after failures. Now, many papers give an analysis to network survivability for terrestrial networks and the papers studying network survivability for satellite network is few. This paper discusses the network survivability for satellite network based on Walker Constellation. Firstly, we analyze the features of topology of Walker constellation and the analysis method based on time segments is introduced. And then, the new survivability measure for satellite network is defined based on topology structure and traffic capacity. At last, survivability function for satellite network is introduced and some quantities of interest are gotten from the survivability function. Example of survivability performance evaluation of Iridium satellite network is presented.

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“…The benefit of their scheme is to measure the survivability of topological network by means of quantitative methods. The more physical network hops means the worse connecting it is [20].…”

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confidence: 99%

Research of Survivability Scheme with Cooperative Information Management Based on IOT

Guo

Zhang

Luo

2014

AMM

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Research progress of network survivability during the last few years were briefly introduced, including definitions, methods, qualitative and quantitative survivability evaluation, etc. Technical measures of survivability including IOT were summarized. Cooperative survivability and further possible research problems were investigated. Based on the idea of machine learning, survivability information can be got from other systems, and were utilized by the local system to enhance local survivability in time. Some research aspects on cooperative network survivability were summarized. Peers in a system collaborate with each other, which can improve the survivability of the whole systems.

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A new survivability measure for military communication networks

Cited by 15 publications

References 2 publications

Multiple Data Sources Fusion Method for Effectiveness Evaluation of Military Communication Network

Multiple Data Sources Fusion Method for Effectiveness Evaluation of Military Communication Network

Survivability performance evaluation for satellite communication network based on Walker Constellation

Research of Survivability Scheme with Cooperative Information Management Based on IOT

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