TY - JOUR
T1 - A temporal-spatial moclel-basecl method of resilience measurement for mobile Ad Hoc network
AU - Wu, Weiqiang
AU - Huang, Ning
AU - Hu, Bo
AU - Zhang, Yue
N1 - Publisher Copyright:
© MYU K.K.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - MANET
KW - Network fault tolerance
KW - Resilience measurement
KW - Routing protocols
KW - Temporal-spatial network model
UR - https://www.scopus.com/pages/publications/85023771850
U2 - 10.18494/SAM.2017.1568
DO - 10.18494/SAM.2017.1568
M3 - 文章
AN - SCOPUS:85023771850
SN - 0914-4935
VL - 29
SP - 915
EP - 926
JO - Sensors and Materials
JF - Sensors and Materials
IS - 7
ER -