Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
Lattice sensor networks: capacity limits, optimal routing and robustness to failures
Proceedings of the 3rd international symposium on Information processing in sensor networks
Mesh-based Survivable Transport Networks: Options and Strategies for Optical, MPLS, SONET and ATM Networking
Multilevel network characterization using regular topologies
Computer Networks: The International Journal of Computer and Telecommunications Networking
Upgradeability and predictability analysis for mesh topologies in optical distribution networks
WOCN'09 Proceedings of the Sixth international conference on Wireless and Optical Communications Networks
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Network planning methods are evolving to a more automated procedure for designing high investment networks. This automated procedure focuses on the optimization of the economical investment and reliability of the network system. For these purposes, models of networks are used and integrated to be able to compare different potential solutions for a certain region in a fast but efficient way. In this work, the goal is to contribute to this model definition by analyzing the relation between schematic network models with real physical implementations. This study establishes some of the approximations to predict the length of the network when implemented as regular topologies before applying any of the planning procedures. These approximations will reduce the resources and time consuming of topology decision being able to focus on the digging planning optimization by discarding the potentially bad option for a given region.