An Efficient Distance Model for the Estimation of the Mobile Ad Hoc Network Reliability

Estimation of infrastructureless arbitrary networks (mobile ad hoc network) reliability has its existence for more than a decade. Moreover, the existing literature show the substantiation use of Euclidean distance approach to measure the performance metrics like routing, node distribution, success probability of the mobile ad hoc network. But the aforementioned approach requires more computational time for estimation of the arbitrary network performance. Hence, in this work, an efficient method using Manhattan distance calculations has been proposed to estimate the reliability of mobile ad hoc networks. Two distance approaches (Euclidean and Manhattan) are employed and the comparative results of network reliability through Monte Carlo Simulation has been addressed in this paper. The simulated result makes the method applicable as the proposed approach takes lesser time when compared to Euclidean distance approach.