Simulation of Neighbor Discovery Algorithm in Directional Antenna Ad Hoc Networks Based on OPNET

Authors

Li Mo, 1. Department of Electronic Technology, China Maritime Police Academy, Ningbo 315801, China; ;
Zhao Liang, 2. Division of Informationization, East Sea Fleet, Ningbo 316000, China;

Abstract

Abstract: Neighbor discovery problem in directional antenna Ad Hoc networks is studied. A Q-Learning neighbor discovery algorithm is proposed, and a simulation model for directional antenna Ad Hoc networks based on OPNET software is setup. This algorithm makes a decision of transmitting and receiving mode for every neighbor scanning without the information of neighbor position through the Q-Learning mechanism. The reward value is determined according to the current scanning result, and the experiences are learned in order to improve the neighbor discovery efficiency. The simulation model based on OPNET software is constructed using three-layer modeling mechanism. Then the directional antenna is modeled by the antenna modeling editor. The simulation result based on OPNET shows that the proposed algorithm has a better efficiency of neighbor discovery compared with the scan based algorithm.

Recommended Citation

Mo, Li and Liang, Zhao (2019) "Simulation of Neighbor Discovery Algorithm in Directional Antenna Ad Hoc Networks Based on OPNET," Journal of System Simulation: Vol. 30: Iss. 5, Article 11.
DOI: 10.16182/j.issn1004731x.joss.201805011
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss5/11

First Page

1707

Revised Date

2016-08-07

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201805011

Last Page

1714

CLC

TN929.5;TP393

Recommended Citation

Li Mo, Zhao Liang. Simulation of Neighbor Discovery Algorithm in Directional Antenna Ad Hoc Networks Based on OPNET[J]. Journal of System Simulation, 2018, 30(5): 1707-1714.

DOI

10.16182/j.issn1004731x.joss.201805011