Network survivability analysis modeling in MANETs was hardly an issue in the early years of wireless technology because there was no critical network system that depended on wireless technology yet. Today, network survivability analysis is an essential aspect of reliable communication especially in MANETs. Although various methods have been proposed to model network survivability analysis in MANETs, no related review has been published as to date for this topic. Thus, a comprehensive review of this body of work would be beneficial to researchers to have an overview of the current state of research trend in this area. This paper provides a systematic literature review (SLR) of the state of the art approach in modeling network survivability analysis in MANETs. We used studies from a number of relevant article sources, and our results showed the existence of twenty six articles. From this SLR we found that the existing of modeling method is focusing on individual node in which the node is treated as independent event. Furthermore, the analysis also reveals the less popular methods in modeling network survivability analysis are with statistical methods such as regression analysis and survival analysis. The implication of this study is to give a clear direction to future researchers in this area for a better and accurate analysis in measuring network survivability in MANETs.

Network survivability analysis modeling approach for MANETS: A systematic review

https://dyuthi.cusat.ac.in/jspui/bitstream/purl/3155/1/Dyuthi-T1129.pdf

Service quality and reliability assessment of mobile communication

This paper present correlated hazard function in multivariate network survival analysis in MANETS. Correlated hazard function is an extended hazard function in Cox model to capture correlated events. The function takes correlated degree as a covariate to measure the effect of correlated node behavior and describe the relationship between correlated degree and survival times. The covariates analysis shows that the effect of correlated degree is significant in measuring survival analysis in MANETS.

Multivariate Survival Analysis for Correlated Node Behavior in MANETS

The survival and failure analysis provide a lot of information regarding reliability and maintainability of systems. Arriving at suitable distribution and parameterization of data helps predicting the behavior of systems. Mobile communication has become one of the most valued and indispensable service sector due to its commercial, financial and entertainment applications, apart from usual verbal use. There have been dedicated efforts to improve its versatility, transportability and equipment quality. But lack of infrastructural facilities and the neglect of 'industrial best practices' has made this sector less dependable. The end to end availability of the network depends up on the reliability of each element in the series. Here I am analyzing six months live data of a network with about 2360 BTS serving 3.5 million customers using competing risk models. Both physical as well as the capacity related issues are focused together to get better idea of availability. The failure restoration time distribution patterns are arrived from the data.

Service Reliability Analysis Using Competing Risk Models

Service quality and reliability assessment of mobile communication infrastructure

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Service Reliability Analysis Using Competing Risk Models

Service quality and reliability assessment of mobile communication infrastructure