Reliability: probabilistic models and statistical methods
Reliability: probabilistic models and statistical methods
A comparison study of the two-tier and the single-tier personal communications services systems
Mobile Networks and Applications - Special issue: mobility management
Inside risks: evolving telephone networks
Communications of the ACM
Survivable load sharing protocals: a simulation study
MSWiM '99 Proceedings of the 2nd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Emerging mobile and wireless networks
Communications of the ACM
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
| Hi-index | 0.00 |
The focus of research in wireless networking has beenon increasing the capacity and users, reducing callblocking, improving mobility management techniques,and optimizing individual wireless links. However, verylittle attention has been paid towards understanding andimproving the reliability and survivability (RS)of wirelessnetworks experiencing infrastructure failures. We presenta scalable approach to model and simulate the reliabilityand survivability of infrastructure-oriented wirelessnetworks. Simulation results include the expected numberof failures for different component/link reliability levels,number of subscribers, network size, and the total numberof subscribers impacted by these failures. The specificsimulation work presented here addresses infrastructurereliability and survivability, and is offered as a proof ofconcept to show that this approach has promise and canoffer insights not otherwise gained. Key findings showthat survivability characteristics vary widely forreasonable ranges of different component failurefrequencies, and that the reliability of some componentsmatter much more than others.