Multi-Hop Dynamic Map Data Propagation Algorithm for Clustered Vehicular Networks

Autor: Odilbek Urmonov, HyungWon Kim
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Electronics, Vol 9, Iss 1728, p 1728 (2020)
Electronics
Volume 9
Issue 10
ISSN: 2079-9292
Popis: To ensure the driving safety in vehicular network, it is necessary to construct a local dynamic map (LDM) for an extended range. Using the standard vehicular communication protocols, however, vehicles can construct the LDM for only one-hop range. Constructing large-scale LDM is highly challenging because vehicles randomly change their position. This paper proposes a dynamic map propagation (DMP) method, which builds a large aggregated LDM data using a multi-hop communication. To reduce the data overhead, we introduce an efficient clustering method based on a half-circle of the forwarder&rsquo
s wireless range. The DMP elects one forwarder per cluster, which constructs LDM and forwards it to a neighbor cluster. The inter-cluster interference is minimized by allocating a different transmit window to each cluster. DMP copes with a dynamic environment by frequently re-electing the forwarders and their associated transmission windows. Simulation results reveal that DMP enhances the forwarders&rsquo
reception ratio by 20%, while extending LDM dissemination range by 29% over a previous work.
Databáze: OpenAIRE