DESERT Underwater: An NS-Miracle-based framework to design, simulate, emulate and realize test-beds for underwater network protocols

Masiero, Riccardo; Azad, Saiful; Favaro, Federico; Petrani, Matteo; Toso, Giovanni; Guerra, Federico; Casari, Paolo; Zorzi, Michele

doi:10.1109/oceans-yeosu.2012.6263524

Cited by 103 publications

(53 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Desert [26] is based on ns-miracle framework. It supports simulation, emulation, and test bed experiments.…”

Section: Desertmentioning

confidence: 99%

Simulation Tools for Underwater Sensor Networks: A Survey

Das¹,

Thampi

2017

NPA

View full text Add to dashboard Cite

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.

show abstract

“…Desert [26] is based on ns-miracle framework. It supports simulation, emulation, and test bed experiments.…”

Section: Desertmentioning

confidence: 99%

Simulation Tools for Underwater Sensor Networks: A Survey

Das¹,

Thampi

2017

NPA

View full text Add to dashboard Cite

show abstract

“…Recently, the DESERT framework has been proposed in [29]. DESERT is a simulation/emulation tool along the lines of that proposed in [14,13].…”

Section: Related Workmentioning

confidence: 99%

The SUNSET framework for simulation, emulation and at-sea testing of underwater wireless sensor networks

Petrioli¹,

Petroccia²,

Potter

et al. 2015

Ad Hoc Networks

133

View full text Add to dashboard Cite

“…It does physical and data-link layer emulation. Other software emulation works include Nautilus, of Masiero et al [16], a channel model with neighbor set calculation, collisions and propagation delays, of Cnar and Orencik [17], the World Ocean Simulation System (WOSS) library [18], a model developed by King [19] for OMNeT++ [20], and a model for the OPNET environment by Llor et al [21], [22].…”

Section: Related Workmentioning

confidence: 99%

Simulation of underwater communications with a colored noise approximation and mobility

Barbeau

Blouin

Cervera

et al. 2015

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE)

View full text Add to dashboard Cite

Abstract-We study the software simulation of underwater physical communications, namely, underwater acoustic waves and (de)modulation of underwater acoustic digital data signals. We take into account the mobility of nodes, such as in underwater sensor networks. We also consider the integration with protocol layers above the physical layer, i.e., the link and network layers. In this context, mobility is relevant because there are underwater vehicles and environmental conditions causing displacements of sensors. Attenuation is sensitive to transmitter-receiver separation distances. Because of mobility, distances change. Our solution is based on the work of Borrowski (2010). The physical layer is modeled as Matlab functions. As a function of distance and frequency, our physical layer model takes into account attenuation and noise and their effects on a phase-shift keyed signal. We use OMNeT++ to model link and network layer protocols. The Matlab functions and OMNet++ models are linked together. While Matlab does particularly well with signal processing, OMNeT++ addresses better the protocols placed in the link layer and above.

show abstract

DESERT Underwater: An NS-Miracle-based framework to design, simulate, emulate and realize test-beds for underwater network protocols

Cited by 103 publications

References 10 publications

Simulation Tools for Underwater Sensor Networks: A Survey

Simulation Tools for Underwater Sensor Networks: A Survey

The SUNSET framework for simulation, emulation and at-sea testing of underwater wireless sensor networks

Simulation of underwater communications with a colored noise approximation and mobility

Contact Info

Product

Resources

About