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Stochastic Modeling and Simulation for Redundancy and Coexistence in Graphs Resulting from Log-Normal Shadowing

Published: 25 November 2019 Publication History

Abstract

Recent studies have identified redundancy and coexistence as a supporting graph structure for building connected intersection free planar drawings in wireless network graphs. Empirical evidence suggests that under certain conditions these properties can be assumed to hold with high probability. In this paper we advance insight on these probabilities with a rigorous stochastic treatment studying randomly generated network graphs pertaining to the log-normal shadowing model. We derive nested integral expressions to compute probabilities of redundancy and coexistence numerically under the standard uncorrelated log-normal shadowing model. For a recent model extension including correlation among network links our findings provide a means for efficient stochastic simulation of these probabilities. We illustrate numerical and simulation application of the derived formulae with a comprehensive parameter study for redundancy and coexistence under correlated and uncorrelated log-normal shadowing modeled randomly generated graphs. We also demonstrate how far support for these properties can be improved by artificially cutting communication distance while keeping the network well connected in terms of percolation bounds.

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Cited By

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  • (2024)On the Verification of the Correctness of a Subgraph Construction AlgorithmVerification, Model Checking, and Abstract Interpretation10.1007/978-3-031-50524-9_14(303-325)Online publication date: 15-Jan-2024
  • (2023)Percolation and Range Bounds in Log-Normal Shadowing Modeled NetworksICC 2023 - IEEE International Conference on Communications10.1109/ICC45041.2023.10278797(1438-1443)Online publication date: 28-May-2023
  • (2021)Local Construction of Connected Plane Subgraphs in Graphs Satisfying Redundancy and CoexistenceProcedia Computer Science10.1016/j.procs.2021.11.016195(108-117)Online publication date: 2021

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cover image ACM Conferences
MSWIM '19: Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
November 2019
340 pages
ISBN:9781450369046
DOI:10.1145/3345768
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 25 November 2019

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Author Tags

  1. coexistence
  2. log-normal shadowing
  3. percolation
  4. poisson point process
  5. redundancy
  6. stochastic analysis
  7. stochastic simulation

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Cited By

View all
  • (2024)On the Verification of the Correctness of a Subgraph Construction AlgorithmVerification, Model Checking, and Abstract Interpretation10.1007/978-3-031-50524-9_14(303-325)Online publication date: 15-Jan-2024
  • (2023)Percolation and Range Bounds in Log-Normal Shadowing Modeled NetworksICC 2023 - IEEE International Conference on Communications10.1109/ICC45041.2023.10278797(1438-1443)Online publication date: 28-May-2023
  • (2021)Local Construction of Connected Plane Subgraphs in Graphs Satisfying Redundancy and CoexistenceProcedia Computer Science10.1016/j.procs.2021.11.016195(108-117)Online publication date: 2021

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