Simulation Tools for Underwater Sensor Networks: A Survey

Abstract

In underwater sensor network(UWSN) research, it is highly expensive to deploy a complete test bed involving complex network structure and data links to validate a network protocol or an algorithm. This practical challenge points to the need of a simulation environment which can reproduce the actual underwater scenario without the loss of generality. Since so many simulators are proposed for UWSN simulation, the selection of an appropriate tool based on the research requirement is very important in validation and interpretation of results. This paper provides an in-depth survey of different simulation tools available for UWSN simulation. We compared the features offered by each tool, pre-requirements, and provide the run time experiences of some of the open source tools. We conducted simulation of sample scenarios in some of the open source tools and compared the results. This survey helps a researcher to identify a simulation tool satisfying their specific research requirements.

Towards Efficient Sink Mobility in Underwater Wireless Sensor Networks

“…In this section, performance of the proposed scheme is compared with already existing depth based routing protocols of UWSNs: DBR, EEDBR and SEEC. Simulations are performed by creating a complete UWSN environment using MATALB [28]. For simulation, 2200 rounds are run with the same parameters.…”

Channel Modelling of Underwater Communication Network with AUVS

“…For any oceanographic applications the minimum required network model to be considered (Das, et al 2017) has one surface sink, one surface station,4 static nodes, two AUV's, 1 slow moving node and 1 fast moving node. With above basic configuration the total model and simulation are carried out.…”

“…For our network design and simulation, Aquasim is found to be the best suited simulation tools. (Das, et al 2017).…”

Design and deployment of a smart system for data gathering in aquaculture tanks using wireless sensor networks

“…However, we should consider the drawbacks these mediums present, especially in underwater environments where the dispersive character of water worsen the data transmission. 2 Using those WSN, there is no need of going continuously to the place under study to take samples to analyze them at the laboratory. Comparing with traditional sampling and analysis procedure in chemical laboratory, WSNs offer several advantages.…”