This paper introduces a new model for node behavior namely Correlated Node Behavior Model which is an extension of Node Behavior Model. The model adopts semi Markov process in continuous time which clusters the node that has correlation. The key parameter of the process is determined by five probabilistic parameters based on the Markovian model. Computed from the transition probabilities of the semi-Markov process, the node correlation impact on network survivability and resilience can be measure quantitatively. From the result, the quantitative analysis of correlated node behavior on the survivability is obtained through mathematical description, and the effectiveness and rationality of the proposed model are verified through numerical analysis. The analytical results show that the effect from correlated failure nodes on network survivability is much severer than other misbehaviors.

In ad hoc networsk, nodes operating under dynamic topology are often correlated in their behavior. Correlated behavior may poses devastating impact towards network survivability. It can be investigated by observing node activities such as forwarding and malicious activity. To assess systematic network survivability in providing efficient communication in the events of correlated behaviors, it requires a stochastic abstraction of node behavior to capture correlated event. We proposed in this paper, a novel Semi Markov with epidemic model for modeling correlated node behavior in mobile ad hoc networks. The model consists of two stages. First stage characterizes node behavior and its transition based on Semi Markov process while at second stage correlated degree is proposed using epidemic model to generated correlated behavior event sequence. The model is able to predict correlated degree of nodes from the current status of neighboring nodes. This criteria is important in understanding the spread of node particularly for misbehave node and in developing counter measures for survival network.

This paper presents new model to study the survivability of ad hoc network in which node behaviors are statistically correlated. The model tries to identify explicitly the correlated node events that cause network to isolate. The model characterizing the node behavior transition based on Semi Markov process and predicts how nodes affected neighboring activity to which it is important for understanding their potential damages, and for developing countermeasures to secure and ensure survivable of mobile ad hoc network. For survivability analysis, the model introduces correlated degree as a new function of survivability to measure nodes connectivity. The study evaluates the impact of correlated node behavior particularly selfish, malicious and fails nodes toward network resilience and survivability. The results show that correlated node behaviors have more adverse effects on the survivability.

This paper present a new survivability model based on correlated node behavior to study the global survivability of mobile ad hoc networks. The model uses k-correlated survivability model for correlated node behavior of mobile ad hoc networks which is an extended version of k-connectivity of individual node model. The k-correlated survivability model takes correlated degree to measure node correlation as a new function of survivability. The study evaluates the impact of correlated node behavior particularly selfish, malicious and fails nodes toward network resilience and survivability. The results show that correlated node behaviors have more adverse effects on the survivability.

Network survivability analysis in MANETs was hardly an issue in the early years of wireless technology because there were 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 measure 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 network survivability analysis in MANETs. We used studies from a number of relevant article sources, and our results showed the existence of twenty six (26) articles. From this SLR we found that the existing of analysis 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 analyzing network survivability 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. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).