With the growth of mobile users and the increasing deployment of wireless access network infrastructures, the issue of fault tolerance is becoming an important component of efficient wireless access network design. In this work, we study a survivable hierarchical network design problem. Given the available capacity, connectivity, and reliability at each level, the problem is to minimize overall connection cost for multiple requests such that the capacity, connectivity, and minimum survivability constraints are not violated. Our study is different than earlier research in regard to the coordination of multiple layers of access networks. The connectivity to the core network may be fully or partially dual-homed paths, or may be single-homed paths. Dual-homing schemes spanning to different levels in the network hierarchy are used if the single-homed connectivity is not enough to guarantee the minimum required survivability. We formulate the problem using mixed integer linear programming and prove the complexity class to be NP-hard. We then propose an off-line genetic algorithm based meta-heuristic. Given the complexity of the problem, simulation results demonstrate that the proposed approach is viable in designing fault-tolerant access networks with dual-homing capability.
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This work has been supported in part by the National Science Foundation (NSF) under grant numbers CNS-0435105 and ANI-0133899. A preliminary and partial presentation of this study has appeared in IEEE Globecom conference, CA, November 2006.
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Hasan, M.M., Huang, X. & Jue, J.P. Coordinated dual-homing in designing hierarchical wireless access network with a genetic algorithm based approach. Telecommun Syst 54, 417–431 (2013). https://doi.org/10.1007/s11235-013-9741-y
- Access networks
- Network design
- Genetic algorithm
- Fault tolerance