This paper undergoes quantitative analyses on fundamental properties of ad hoc networks including estimating the number of hidden-terminal pairs and the number of exposed-terminal sets. To obtain these results, we propose a paradigm to systematically derive exact formulas for a great deal of subgraph probabilities of random geometric graphs. In contrast to previous work, which established asymptotic bounds or approximation, we obtain closed-form formulas that are fairly accurate and of practical value. © IFIP International Federation for Information Processing 2005.
CITATION STYLE
Yu, C. W., & Yen, L. H. (2005). Computing subgraph probability of random geometric graphs: Quantitative analyses of wireless ad hoc networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3731 LNCS, pp. 458–472). https://doi.org/10.1007/11562436_33
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