Underwater sensor network simulator is merely an analytical tool, which is generally used to analyze the network performance of the WSN (Wireless Sensor Network) used underwater. The underwater sensor networks majorly use in defense applications or for maritime purposes. It can also use to monitor the behaviour of ocean species along with the help of GPS for research purposes.
“Marine is an ever-flourishing field like oceanic resources, whereas adding technology in the field unlock innovative research aspects”
The prime duty of the underwater network simulator is to run the simulation process through its various metrics and parameters, to measure the network performance applied underwater. This type of simulator has various significances for underwater purposes as defined in the following.
“This article further focuses on the important and research aspects of the underwater network simulator and it is intended to display our simulation tools and our experimental skills developed with the help of our simulating components and our research suggestions in the relevant field!!”
In addition to the numerous usages of the UWSN, we provide you the number of rising challenges that a researcher must undergo are given below to the best of our knowledge.
Besides the challenges and our approaches towards the research issues, we have to provide you our major investigating research gaps/areas for simulation and we also include our suggestion of the above subdomains of UWSN as given below,
We can perform the research in the UWSN simulators along with their respective parameters for every following network feature.
The above is our sample simulation results performed on the various conditions of UWSN networks. Apart from the simulation results and the research topics, we are enlisting you the simulation tools and their importance, and ways to choose the best simulation tools.
Using the existing simulator is not possible for the UWSN simulation. We need to modify the simulator according to custom underwater scenarios. In order to model the UWSN, we need to concentrate on its three-dimensional deployment, acoustic channel features, and node mobility. These can also be the reason that the existing simulators don’t have such amenities. These are the needs of the simulator to perform effective underwater simulation.
Another limitation of the UWSN simulator is the implementation. For the research of UWSN simulation, it deserves high cost to deploy an entire testbed to validate network protocol or algorithm of difficult network structure and data links. To face these implementation challenges, we need to recreate the actual underwater condition without losing the simplification. So it is important to choose the appropriate simulation tools for research purposes.
NS2: in order to use this simulation tool, we need to alter all its sub-components such as the propagation model and channel characteristics. The sub-simulator of the Ns2 is as follows
The NS3 UAN framework: used in modeling underwater conditions. The supporting models of this simulator are ideal channel model, thorp model, and Bellhop model. It permits the user to program the AUV to navigate over a path of way-points, control various AUV parameters such as velocity, depth, direction, and pitch. The user can choose the acoustic channel and the matching tempering model. It has four parts, the channel, PHY, MAC and AUV models
QualNet: affords platform to any type of network to perform planning, testing and training network behavior. It possesses GUI, an inbuilt statistical propagation model. It is optimized for both wired and wireless networks. Qualnet is one among the best choice for Underwater Sensor Network Simulator. Implementing QualNet is a tough work as it needs to model all the field features and channel properties.
OPNET: one of the best network modeling and simulator tool used to debug and analysis. OPNET is based on GUI, even it is best; it is need to modify the 14 pipeline stages. Mainly in the radio transceiver pipeline to get precise channel model. The stages are
Aqua Glomo: this simulator established to perform large communication networks. The physical layer and network layer packages are promoted to structure a matching network for UWSN. The language used in Aqua Glomo is PARSEC, a C-based language. For its physical layer, the attenuation model is Thorp’s model for distance and frequency. And in the network layer, RMTG is implemented. The adopted mobility model is Random-Waypoint. Aqua Glomo is the updated version of GLOMOSIM.
Desert: it sustains test bed experiments, simulation and emulation. Desert is based on ns-miracle outline. It contains c/ c++ libraries to support the strategies of innovative protocols. It has two modules in the application layer uwcbr and uwvbr to handle traffic. The two modules in transport layer afford flow control, error control, multiplexing and demultiplexing process and mobility node for both 2D and 3D situations.
UWSim: it has a good configurable interface, and it utilized the OpenSceneGraph and osgOcean libraries. It also interfaces multiple AI, and sustains the dynamic simulation of rigid body motion.
Aqua-net mate: it is a type of networking equipment, apt to modify the embedded systems. It enables both the emulation and simulation mode switching and make online accessible of both the aqua-net and aqua-net-mate.
AUVNetSim: based on the language Python, it is an open source model. It has a way of stating the acoustic channels as the networking protocols and parameters into packages and they are directly applied or modified. It has inbuilt physical layer of Thorp model, so it disables the modeling for different conditions and varies the result from the real time simulation.
The above mentioned are our best observation on the various simulators used for the underwater sensor networks simulation. In addition to the above part, we provide you the significant simulation parameters for underwater sensor network simulator.
The above list is the six major parameters used to analyze the UWSN performance. We can set different scenarios for evaluation by using these six parameters. Other than the above-specified parameters, the other common parameters are Channel utilization, Target packet size, Target Network Load, Network Throughput, Energy consumption, End-to-End Delay, Collision Rate, Possible Collision, Concurrent transmissions, Network Topology
Title: Aquasim based underwater secure data transmission: an effective way of simulation
Step 1: Network creation – generating an underwater sensor network simulator of 150 sensor nodes, I server and 1 sink node
Step 2: Network nodes deployment – Deploying the network nodes at the depth of 300m
Step 3: Multi factor registration and authentication using hashing and signature generation – PUF and IP address parameters are taken into account for authentication.
Step 4: Clustering underwater sensor nodes. (1). Node energy statues, (2). Distance, (3), Link quality and (4). Direction
Step 5: Secure routing – Three objective functions defined
Signature Generation Algorithm: messages are signed using public key (bliss algorithm)
Step 6: Data transmission by optimum routing
Detecting the Aquasim based route among the sensor and server node
Step 7: Finding the simulation performance by following metrics
Step 8: Attack mitigation- DAG blockchain (destination node verifies signature and authentication)
Generally, the network simulation is one central area of attention for any researcher who tries to verify and validate a protocol or an algorithm in any kind of network without actual deployment. But in the case of Underwater Sensor Network Simulator research, deploying the whole testbed to recreate and to evaluate and authorize the results in a summarized manner. Thus the researchers need to stimulate the UWSN effectively. You will get nothing to worry about on the deployment and the resultant outcomes. We have a simulator, which is the core concept of this process that provides the identical result to the real-time simulation. You can come to us at any level of your project!!
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Unlimited Network Simulation Results available here.