Introduction for Underwater Sensor Network
The network sensors in the surface of underwater are utilized in various applications including the ocean mapping, seismic monitoring, oil exploration and submarine monitoring. The underwater sensor networks (UWSNs) are used in the applications for the functions of data acquisition techniques along with several issues in the characteristics of acoustic communication and aquatic environment. In addition, the characteristics such as,
- Error prone communication medium
- Ambient noise of marine life
- Very less bandwidth for communication
- Frequent loss of connection between the nodes
- Node mobility because of the current in underwater
- Large and variable propagation delay
- Pressure and temperature in underwater
- Varying levels of salinity
Along with that, the process of underwater sensor network includes some challenges during the implementation and it is highly affluent in the functions of test bed with the complex network structure and some data links for the validation of network protocols and algorithms. The requirement of simulation environment is also considered as the real time challenges in the process of reproducing the actual underwater scenario without any damage in the generalization. This underwater sensor network includes several simulators to select the apt tool with the validation and interpretation process.
Procedures of Underwater Sensor Network Simulator
The sensor data is deployed in various applications and are used in the benefits of human beings. The mobiles and sensor nodes are connected wirelessly through the communication modules to transfer several events with the interest. The process of underwater communication is functioning with the data transformation using set of nodes and they relay the data to the nearest coastal monitoring and control station. The frequency of acoustic waves is low and they provide the small bandwidth with long wavelengths. The applications based on underwater include five notable classes to cover the spectrum of underwater sensor network and they are enlisted below.
- Sports
- Navigation
- Disaster
- Monitoring
- Military
In addition, our research professionals have enlisted the sample topology of the underwater sensor network.
- Underwater acoustic networks
- Surface radio network
- IP network
- Web services
Modules in Underwater Sensor Network Simulator
Aqua sim next generation is introduced in this process and it is related to the functions of Ns3 based underwater sensor network simulator. It is deployed to transfer the new core simulator and Ns3 is used for the enhancement of memory management and performance. Here, the legacy is renewed with the support of protocols over the better packet handling and header utilization. The aqua sim next generation is used to provide the real time features to close the gap among the real time teats and simulation through the provision of additional modules for easy enhancement.
Our research experts used to integrate the special underwater information centric module to support the innovative simulation techniques in underwater sensor networks. Ns3 simulator developed through the low power underwater wakeup model to test and improve the wakeup systems.
Plugins in Underwater Sensor Network Simulator
The aqua sim model is utilized in Ns2 based simulation network and our research professionals in this field have presented the network simulator and aqua sim for the utilization of underwater sensor networks. Here, this aqua sim is based on Ns2 and it is one of the widely used network simulator and it is followed through the object oriented design style and the entities based on all the networks. The aqua sim is used to simulate the attenuation of the underwater acoustic channels with the characteristics of collision based on the long delay acoustic networks. Additionally, it is supportive for the utilization of three dimensional networks and it provides the fundamental and advanced protocols.
- Channel layer
- Physical layer
- MAC layer
- Aloha MAC
- RMAC
- TMAC
- Higher layers
- DBR
- VBF
Notable Classes in Underwater Sensor Network Simulator
Ns3 class includes the utilization of UanPdp for the performance and propagation models of underwater node. In addition, we have listed out the significant classes that are used in the underwater sensor network simulator.
- Attacker
- NDN
- Synchronization and localization
- Aqua sim channel
- Multichannel support
- Noise generator
- Propagation model
- Aqua sim Phy Cmn
- Long preamble
- Modulations
- Attenuation
- SINR checker
- Half duplexity
- Transmission delays
- Signal cache
- Aqua Sim Phy
- Energy model
- Aqua Sim MAC
- GOAL
- R-MAC
- FAMA
- ALOHA
- COPE-MAC
- UWAN-MAC
- Slotted-FAMA
- Broadcast MAC
- T-MAC
- Aqua Sim Routing
- Dummy
- Dynamic
- Static
- DBR
- VBVA
- VBF and HH-VBF
Intergrated Tools in Underwater Sensor Network Simulator
In general the wireless sensors are considered as the underwater sensors and the wide spread simulators are considered as the fully integrated, flexible, expandable, open source, free tools into the mathematical modeling tools. Consequently, the connection in physical level and direct interaction with the real process through wireless sensor network and a novel simulation module is used to control the wireless cyber physical system. This system is mainly functioning through the COOJA simulator, lab view system design software and cross level wireless sensor network simulator.
Programming Languages in Underwater Sensor Network Simulator
Hereby, our research professionals have enlisted the programming languages that are used to implement the research projects based on underwater sensor network simulator.
- OMNeT++
- Ini
- Ned
- C++
- Ns3
- Python
- C++
- Ns2
- TCL
- C++
OS Support in Underwater Sensor Network Simulator
The operating system is the most important part for the implementation process of the research projects in the underwater sensor network simulator.
- Contiki 3.0
- Windows 8 (64 bit)
- Ubuntu 18. 04
Tools Version in Underwater Sensor Network Simulator
A tool plays the vital role in the research implementation process of all the research subjects. Our technical experts had the great knowledge about the usage of appropriate tools in the underwater sensor network simulator.
Protocols in Underwater Sensor Network Simulator
In the following, we have highlighted the substantial protocols used in the implementation process of the research projects based on the underwater sensor network simulator. For your reference, we have listed some protocols with its functions for additional information the research scholars can contact us.
- Location free routing
- No mobility
- CEETHCoR
- CACR
- DVOR
- HYDRO
- JARDCM
- DFR-TA
- EnOR
- Mobility
- RAR and RACAA
- TBRS
- DQELR
- EDBF
- RMCN
- SORP
- MMS
- EECOR
- Location based routing
- No mobility
- RPO
- SiM-RPO
- EGBLOAD
- PCR
- Mobility
- MFPR
- P-AUV
- EEDC-AA
- VA-GMPR
- EULC
- QERP
- BLOAD
- AREP
- Geographic routing protocols for UWSN
- Hierarchical
- LCAD
- Restricted directional flooding
- DFR
- SBR-DLP
- FBR
- Greedy
- REBAR
- VBF
- HH-VBF
Parameters in Underwater Sensor Network Simulator
In the evolution process of the research project, the parameters are considered as the crucial phase to produce the result and here, our research professionals have enlisted the parameters that are used in the underwater sensor network simulator.
- Bandwidth
- Network capacity
- Packet drop
- RSSI
- QoS
- Communication link
- Acoustic sensor node
- Satellite
- Surface buoys
- Base station
Subjects based Modules in Underwater Sensor Network Simulator
Here, we have listed out the research subject based modules with their appropriate tools selection in the underwater sensor network simulator.
- OMNeT++ acoustic
- Process of underwater acoustic waves
- Ns2 aqua sim
- It is used to create the aqua sim based process
- Ns3 aqua sim
- It is used to create the aqua sim based process
- Ns3 uan
- The underwater acoustic network process is functional
Main Syntax in Underwater Sensor Network Simulator
Let us have the derailed discussion about the significant syntax used in the underwater sensor network simulator.