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Fast capacity estimation algorithms for manets using directional antennas

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Journal of Electronics (China)

Abstract

In this letter, capacity estimation for Mobile Ad hoc NETworks (MANETs) using directional antennas are studied. Two Matrix-based Fast Calculation Algorithms (MFCAs) are proposed to estimate the network capacity in a network scenario in which there is no channel sharing among multiple sessions and traffic is sensitive to delay with an end-to-end delay constraint. The first algorithm MFCA-1 is used to estimate network capacity in a situation where all links have the same delay. It estimates the maximum number of κ-hop sessions in a network based on the κ-hop adjacency matrix of the network. The second algorithm MFCA-2 is used to estimate network capacity in a situation where different links may have different delays. It calculates the maximum number of sessions in a network with an end-to-end delay constraint based on the adjacency matrix and the link-delay matrix of the network. Numerical and simulation results show that both MFCA-1 and MFCA-2 can calculate network capacity much faster than the well-known Brute-Force Search Algorithm (BFSA) but with the same accuracy.

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Authors and Affiliations

  1. Institute of Sciences, PLA Univ. of Sci. & Tech., Nanjing, 210007, China

    Li Ning & Guo Yan

  2. School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Guo Li

Authors
  1. Li Ning
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  2. Guo Yan
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  3. Guo Li
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Corresponding author

Correspondence to Li Ning.

Additional information

Supported by the National Natural Science Foundation of China (No. 60402005).

Communication author: Li Ning, born in 1967, male, Ph.D. candidate, associate professor. Institute of Sciences, PLA University of Science & Technology, Nanjing 210007, China.

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Li, N., Guo, Y. & Guo, L. Fast capacity estimation algorithms for manets using directional antennas. J. of Electron.(China) 24, 710–716 (2007). https://doi.org/10.1007/s11767-006-0217-z

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  • DOI: https://doi.org/10.1007/s11767-006-0217-z

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