A Routing Metric for Inter-flow Interference-aware Flying Multi-hop Networks

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

André Coelho (Author) Other; Eduardo Nuno Almeida (Author) Other; José Ruela (Author) FEUP; Rui Campos (Author) FEUP; Manuel Ricardo (Author) FEUP

Conference proceedings International

Title: 2019 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC)

Pages: 303-308

IEEE Symposium on Computers and Communications (ISCC)

Barcelona, SPAIN, JUN 29-JUL 03, 2019

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 2 Citations

Other information

Authenticus ID: P-00R-MXN

DOI: 10.1109/iscc47284.2019.8969575

Abstract (EN): The growing demand for broadband communications anytime, anywhere has paved the way to the usage of Unmanned Aerial Vehicles (UAVs) for providing Internet access in areas without network infrastructure and enhancing the performance of existing networks. However, the usage of Flying Multi-hop Networks (FMNs) in such scenarios brings up significant challenges concerning network routing, in order to permanently provide the Quality of Service expected by the users. The problem is exacerbated in crowded events, where the FMN may be formed by many UAVs to address the traffic demand, causing interflow interference within the FMN. Typically, estimating inter-flow interference is not straightforward and requires the exchange of probe packets, thus increasing network overhead. The main contribution of this paper is an inter-flow interference-aware routing metric, named I2R, designed for centralized routing in FMNs with controllable topology. I2R does not require any control packets and enables the configuration of paths with minimal Euclidean distance formed by UAVs with the lowest number of neighbors in carrier-sense range, thus minimizing inter-flow interference in the FMN. Simulation results show the I2R superior performance, with significant gains in terms of throughput and end-to-end delay, when compared with state of the art routing metrics.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6