跳到主要导航 跳到搜索 跳到主要内容

A temporal-spatial moclel-basecl method of resilience measurement for mobile Ad Hoc network

  • Weiqiang Wu
  • , Ning Huang*
  • , Bo Hu
  • , Yue Zhang
  • *此作品的通讯作者
  • Beihang University
  • Science and Technology on Reliability and Environmental Engineering Laboratory

科研成果: 期刊稿件文章同行评审

摘要

Routing protocols are usually adopted as a kind of passive fault tolerance approach for a mobile ad hoc network (MANET) against failures of network links and nodes. General performance- based resilience measurement methods depend on whole network operation modeling, considering the network structure and routing protocols as packet delivery rules, thus leading to complex and inefficient network resilience measurements. Conversely, structure-based resilience measurement methods consider the removal of nodes and links as network failures in the network topology and have a higher efficiency than performance-based methods. Nevertheless, they ignore routing protocols as resilience impact factors, which result in a lower accuracy than performance- based methods. In this paper, we proposed a temporal-spatial network model-based method of resilience measurement, considering not only the network structure but also routing protocols as resilience impact factors. By analyzing the temporal-spatial characteristics of logical layers, which are formed with routes according to routing protocols, we built a temporal-spatial network model above the physical layer. Based on this model, resilience can be measured by the metric of temporal-spatial flow robustness (TSFR). Compared with the previous methods, our proposed method has a higher accuracy than the method based on physical flow robustness, which was originally considered the most accurate structure-based method, and it also has a higher efficient than the general performance-based measurement method.

源语言英语
页(从-至)915-926
页数12
期刊Sensors and Materials
29
7
DOI
出版状态已出版 - 2017

学术指纹

探究 'A temporal-spatial moclel-basecl method of resilience measurement for mobile Ad Hoc network' 的科研主题。它们共同构成独一无二的学术指纹。

引用此