Title
Marine Delay and Disruption Tolerant Networks (MaDTN): Application for Artisanal Fisheries
Date Issued
01 January 2021
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Springer Science
Business Media Deutschland GmbH
Abstract
The artisanal fishing activity carried out on the coasts where the production of fish can be exploited is affected by a lack of communication between the vessels in order to provide relevant information related to multiple marine sensor parameters. It is mainly due to the rugged geographic area that causes highly disruptive communication links and in which traditional IP-based communications with transport protocols such as TCP or UDP do not work properly. This paper presents and evaluates a new communications architecture to provide services to marine sensor networks using a disruption tolerant networking (DTN) based solution. We propose a new architecture that takes into account the different vessels densities. We assume a finite sensor population model and a saturated traffic condition where every sensor always has frames to transmit. The performance was evaluated in terms of delivery probabilities, delay and a DTN scenario indicator (DSI) proposed. Through simulations, this paper reveals that Low Density scenery yield greater latency, and more density of nodes has better results. We achieved a successful delivery rate of 74% and a latency of 2 h approximately. Finally indicators shows that high density of nodes is strongly recommended for fishery scenery models.
Start page
3
End page
17
Volume
1388 CCIS
Language
English
OCDE Knowledge area
Biorremediación, Biotecnologías de diagnóstico en la gestión ambiental
Subjects
Scopus EID
2-s2.0-85107349454
Source
Communications in Computer and Information Science
Resource of which it is part
Communications in Computer and Information Science
ISSN of the container
18650929
ISBN of the container
978-303071502-1
Sponsor(s)
Acknowledgement. The results of this investigation were achieved with support from the National program of innovation in fisheries and aquaculture (PNIPA) of Peru and the Institute of Scientific Research (IDIC) of the University of Lima.
Sources of information:
Directorio de Producción Científica
Scopus