**5. Conclusion**

In this chapter, we introduced a new model for for a worst-case cut (partition) due to failure regions. The proposed model takes into consideration the physical correlation among the locations of the network nodes and the possible priority of some nodes over the others. Based on the proposed model, We identified the location of a disaster that would have the maximum impact on a sample test network under single and dual region-failure scenario. Extensive Simulation results indicate that, using the number of failed links as the main criteria for defining the worst-case region cut, underestimates the impact of a region failure on the overall network performance.

## **Author details**

18 Will-be-set-by-IN-TECH

**Figure 17.** Worst-case Dual-Region Failures

**Figure 18.** Worst-case Dual-Region Failures with a mission node

In this chapter, we introduced a new model for for a worst-case cut (partition) due to failure regions. The proposed model takes into consideration the physical correlation among the locations of the network nodes and the possible priority of some nodes over the others. Based on the proposed model, We identified the location of a disaster that would have the maximum impact on a sample test network under single and dual region-failure scenario. Extensive Simulation results indicate that, using the number of failed links as the main criteria for defining the worst-case region cut, underestimates the impact of a region failure on the overall

**5. Conclusion**

network performance.

Mohamed M. A. Azim and Aly M. Al-Semary *Taibah University, Saudi Arabia*

### **6. References**

