A Neighbor Discovery Algorithm for UAV Networking Based on Directional Antennas
Jazyk: | čínština |
---|---|
Rok vydání: | 2020 |
Předmět: | |
Zdroj: | Xibei Gongye Daxue Xuebao, Vol 38, Iss 1, Pp 191-198 (2020) |
Druh dokumentu: | article |
ISSN: | 1000-2758 2609-7125 20203810 |
DOI: | 10.1051/jnwpu/20203810191 |
Popis: | Using directional antennas in Unmanned Aerial Vehicle (UAV) swarm has many advantages, such as longer transmission range, spatial reuse, anti-jamming and low probability of intercept. Neighbor discovery is a crucial step in the initialization of UAV networking. We introduce a neighbor discovery algorithm based on iterative common neighbors (ICN-ND), which can reduce the time of neighbor discovery process and the networking delay. To avoid the huge exchange-data quantity, we use the orientation and distance to represent the neighbor's location instead of latitude and longitude. Compared with the scan-based algorithm, the ICN-ND has better performance on the time to complete the neighbor discovery process and the convergence speed, which is validated the practicality by QualNet simulations. |
Databáze: | Directory of Open Access Journals |
Externí odkaz: |