Modeling Stochastic Correlated Node Behavior For Survivability In Ad Hoc Networks

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.